Chapter 12 – Missing Data: A Review of the Literature

[1]  M A Woodbury,et al.  Applications of a factor-analytic model in the prediction of biological data. , 2007, Behavioral science.

[2]  Subhash C. Ray,et al.  Selection biases in sociological data , 1982 .

[3]  Arthur S. Goldberger,et al.  Linear regression after selection , 1981 .

[4]  R. Olsen,et al.  A Least Squares Correction for Selectivity Bias , 1980 .

[5]  R. Little,et al.  Maximum likelihood inference for multiple regression with missing values , 1979 .

[6]  N. C. Schwertman,et al.  A Note on the Geisser-Greenhouse Correction for Incomplete Data Split-Plot Analysis , 1978 .

[7]  R. R. Hocking,et al.  Methods of Analysis of Linear Models with Unbalanced Data , 1978 .

[8]  Jae-On Kim,et al.  The Treatment of Missing Data in Multivariate Analysis , 1977 .

[9]  D. Rubin Formalizing Subjective Notions about the Effect of Nonrespondents in Sample Surveys , 1977 .

[10]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[11]  Arthur Cohen,et al.  A result on hypothesis testing for a multivariate normal distribution when some observations are missing , 1977 .

[12]  D. Titterington,et al.  A comparison of iterative methods for obtaining maximum likelihood estimates in contingency tables with a missing diagonal , 1977 .

[13]  Olive Jean Dunn,et al.  Alternative Approaches to Missing Values in Discriminant Analysis , 1976 .

[14]  G. Chow,et al.  Best Linear Unbiased Estimation of Missing Observations in an Economic Time Series , 1976 .

[15]  Marcel G. Dagenais,et al.  Incomplete observations and simultaneous-equations models , 1976 .

[16]  Alastair Scott,et al.  Missing Variables in Bayesian Regression II. , 1976 .

[17]  Donald B. Rubin,et al.  Comparing Regressions When Some Predictor Values Are Missing , 1976 .

[18]  E. Beale,et al.  Missing Values in Multivariate Analysis , 1975 .

[19]  D. Rubin INFERENCE AND MISSING DATA , 1975 .

[20]  Morton B. Brown,et al.  Identification of the Sources of Significance in Two‐Way Contingency Tables , 1974 .

[21]  Lawrence E. Stivers,et al.  On difference of means with incomplete data , 1974 .

[22]  D. A. Ratkowsky,et al.  Maximum Likelihood Estimation in Small Incomplete Samples from the Bivariate Normal Distribution , 1974 .

[23]  Donald B. Rubin,et al.  Characterizing the Estimation of Parameters in Incomplete-Data Problems , 1974 .

[24]  H. Doran,et al.  Prediction of Missing Observations in the Time Series of an Economic Variable , 1974 .

[25]  Janet Dixon Elashoff,et al.  Two-sample Problems for a Dichotomous Variable with Missing Data , 1974 .

[26]  John C. Gower,et al.  An Iterative Computer Procedure for Mixed-Up Values in Experiments , 1974 .

[27]  J. Sargan,et al.  Missing Data in an Autoregressive Model , 1974 .

[28]  Marcel G. Dagenais,et al.  The use of incomplete observations in multiple regression analysis: A generalized least squares approach , 1973 .

[29]  Pi-Erh Lin,et al.  Procedures for Testing the Difference of Means with Incomplete Data , 1973 .

[30]  Donald F. Morrison,et al.  Power of the likelihood ratio test on the mean vector of the multivariate normal distribution with missing observations , 1973 .

[31]  P. R. Shearer,et al.  Missing Data in Quantitative Designs , 1973 .

[32]  Dinesh S. Bhoj,et al.  Percentage points of the statistics for testing hypotheses on mean vectors of multivariate normal distributions with missing observations , 1973 .

[33]  J. S. Mehta,et al.  A test for equality of means in the presence of correlation and missing values , 1973 .

[34]  Donald F. Morrison,et al.  A test for equality of means of correlated variates with missing data on one response , 1973 .

[35]  Marcel G. Dagenais,et al.  Asymptotic Behavior and Small Sample Performance: Experiments on Regression Parameter Estimation with Incomplete Observations , 1972 .

[36]  W J Housworth,et al.  Hybrid polynomial and periodic regression with and without missing observations. , 1972, Biometrics.

[37]  D. Lindley,et al.  Bayes Estimates for the Linear Model , 1972 .

[38]  G G Koch,et al.  Linear model analysis of categorical data with incomplete response vectors. , 1972, Biometrics.

[39]  M. Wickens A Note on the Use of Proxy Variables , 1972 .

[40]  Bennett T. McCallum,et al.  Relative Asymptotic Bias from Errors of Omission and Measurement , 1972 .

[41]  O. J. Dunn,et al.  The Treatment of Missing Values in Discriminant Analysis—I. The Sampling Experiment , 1972 .

[42]  Donald B. Rubin,et al.  A Non‐Iterative Algorithm for Least Squares Estimation of Missing Values in Any Analysis of Variance Design , 1972 .

[43]  D. A. Preece,et al.  327. Query: Non-Additivity in Two-Way Classifications with Missing Values , 1972 .

[44]  R. R. Hocking,et al.  Optimum Incomplete Multinormal Samples , 1972 .

[45]  Gerald J. Hahn,et al.  Linear Estimation of a Regression Relationship from Censored Data Part I—Simple Methods and Their Application , 1972 .

[46]  Stanley L. Sclove,et al.  On Missing Value Estimation in Experimental Design Models , 1972 .

[47]  Stephen E. Fienberg,et al.  The Analysis of Incomplete Multi-Way Contingency Tables , 1972 .

[48]  D. F. Morrison,et al.  The analysis of a single sample of repeated measurements. , 1972, Biometrics.

[49]  James E. Grizzle,et al.  Log Linear Models and Tests of Independence for Contingency Tables , 1972 .

[50]  F. Graybill,et al.  321. Note: Tests for Interaction in the Two-Way Model with Missing Data , 1971 .

[51]  S. R. Searle Generalized Inverse Matrices , 1971 .

[52]  R. R. Hocking,et al.  The analysis of incomplete data. , 1971 .

[53]  G. Chow,et al.  Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series , 1971 .

[54]  D. A. Preece,et al.  Iterative Procedures for Missing Values in Experiments , 1971 .

[55]  D. F. Morrison Expectations and Variances of Maximum Likelihood Estimates of the Multivariate Normal Distribution Parameters with Missing Data , 1971 .

[56]  Pi-Erh Lin,et al.  Estimation Procedures for Difference of Means with Missing Data , 1971 .

[57]  Lyman L. McDonald,et al.  ON THE ESTIMATION OF MISSING DATA IN THE MULTIVARIATE LINEAR MODEL , 1971 .

[58]  L. A. Goodman Partitioning of Chi-Square, Analysis of Marginal Contingency Tables, and Estimation of Expected Frequencies in Multidimensional Contingency Tables , 1971 .

[59]  Frank T. Denton,et al.  Adjustment of Monthly or Quarterly Series to Annual Totals: An Approach Based on Quadratic Minimization , 1971 .

[60]  M. J. Box A Parameter Estimation Criterion for Multiresponse Models Applicable When Some Observations are Missing , 1971 .

[61]  S. R. Searle A Biometrics Invited Paper. Topics in Variance Component Estimation , 1971 .

[62]  R. R. Hocking,et al.  Maximum Likelihood Estimation with Incomplete Multinomial Data , 1971 .

[63]  M. Dagenais Further Suggestions concerning the Utilization of Incomplete Observations in Regression Analysis , 1971 .

[64]  Stephen E. Fienberg,et al.  Quasi-independence and Maximum Likelihood Estimation in Incomplete Contingency Tables , 1970 .

[65]  Neil H. Timm,et al.  The estimation of variance-covariance and correlation matrices from incomplete data , 1970 .

[66]  Colin L. Mallows,et al.  Systematic Biases in Panel Surveys Due to Differential Nonresponse , 1970 .

[67]  S. S. Wagner The Maximum-Likelihood Estimate for Contingency Tables with Zero Diagonal , 1970 .

[68]  M. J. Box,et al.  Missing Values in Multiresponse Nonlinear Model Fitting , 1970 .

[69]  Nathan Mantel,et al.  INCOMPLETE CONTINGENCY TABLES , 1970 .

[70]  M. J. Box Improved Parameter Estimation , 1970 .

[71]  Stephen E. Fienberg,et al.  The Analysis of Multidimensional Contingency Tables , 1970 .

[72]  G. N. Wilkinson A general recursive procedure for analysis of variance , 1970 .

[73]  Henry R. Neave,et al.  Spectral analysis of a stationary time series using initially scarce data , 1970 .

[74]  L. A. Goodman The Multivariate Analysis of Qualitative Data: Interactions among Multiple Classifications , 1970 .

[75]  R. Kirk Steinhorst,et al.  Disproportionality of Cell Frequencies in Psychological and Educational Experiments Involving Multiple Classification , 1969 .

[76]  Harry H. Kelejian,et al.  Missing observations in Multivariate Regression: Efficiency of a First Order Method , 1969 .

[77]  J. S. Mehta,et al.  Some Properties and an Application of a Statistic Arising in Testing Correlation , 1969 .

[78]  L. A. Goodman On Partitioning χ2 and Detecting Partial Association in Three‐Way Contingency Tables , 1969 .

[79]  Leo A. Goodman,et al.  How to Ransack Social Mobility Tables and Other Kinds of Cross-Classification Tables , 1969, American Journal of Sociology.

[80]  Stephen E. Fienberg,et al.  Preliminary Graphical Analysis and Quasi‐Independence for Two‐Way Contingency Tables , 1969 .

[81]  S. Fienberg,et al.  Incomplete two-dimensional contingency tables. , 1969, Biometrics.

[82]  Abdelmonem A. Afifi,et al.  Missing Observations in Multivariate Statistics—IV: A Note on Simple Linear Regression , 1969 .

[83]  Abdelmonem A. Afifi,et al.  Missing Observations in Multivariate Statistics III: Large Sample Analysis of Simple Linear Regression , 1969 .

[84]  L. A. Goodman The Analysis of Cross-Classified Data: Independence, Quasi-Independence, and Interactions in Contingency Tables with or without Missing Entries , 1968 .

[85]  Esther C. Jackson Missing Values in Linear Multiple Discriminant Analysis , 1968 .

[86]  Klaus Hinkelmann,et al.  Missing Values in Partial Diallel Cross Experiments , 1968 .

[87]  Jacob Cohen Multiple regression as a general data-analytic system. , 1968 .

[88]  S. Blumenthal Multinomial Sampling With Partially Categorized Data , 1968 .

[89]  S. R. Searle Large Sample Variances of Maximum Likelihood Estimators of Variance Components , 1968 .

[90]  R. R. Hocking,et al.  Estimation of Parameters in the Multivariate Normal Distribution with Missing Observations , 1968 .

[91]  H. O. Hartley,et al.  A Procedure for Automatic Data Editing , 1967 .

[92]  Robert M. Elashoff,et al.  Missing Observations in Multivariate Statistics II. Point Estimation in Simple Linear Regression , 1967 .

[93]  J. Boot,et al.  Further Methods of Derivation of Quarterly Figures from Annual Data , 1967 .

[94]  J. L. Jaech,et al.  An Alternate Approach to Missing Value Estimation , 1966 .

[95]  Williams Da,et al.  Errors of treatment comparisons when observations are missing from a randomised block experiment with additional replication of a control treatment. , 1966 .

[96]  R. Elashoff,et al.  Missing Observations in Multivariate Statistics I. Review of the Literature , 1966 .

[97]  W Siler,et al.  FACTOR ANALYSIS WITH MISSING DATA * , 1966, Annals of the New York Academy of Sciences.

[98]  Chooichiro Asano,et al.  On estimating multinomial probabilities by pooling incomplete samples , 1965 .

[99]  George Zyskind,et al.  Query 14: Missing Values in Factorial Experiments , 1965 .

[100]  R. Anderson,et al.  AN INVESTIGATION OF THE EFFECT OF MISCLASSIFICATION ON THE PROPERTIES OF CHI-2-TESTS IN THE ANALYSIS OF CATEGORICAL DATA. , 1965, Biometrika.

[101]  Perry A. Scheinok,et al.  Spectral Analysis with Randomly Missed Observations: The Binomial Case , 1965 .

[102]  D. G. Gosslee,et al.  Analysis of Variance of Disproportionate Data When Interaction is Present , 1965 .

[103]  Leo A. Goodman,et al.  On the Statistical Analysis of Mobility Tables , 1965, American Journal of Sociology.

[104]  Marion R. Bryson,et al.  Errors of Classification in a Binomial Population , 1965 .

[105]  John S. Chipman,et al.  On Least Squares with Insufficient Observations , 1964 .

[106]  Norman R. Draper,et al.  ESTIMATING MISSING VALUES IN UNREPLICATED TWO-LEVEL FACTORIAL AND FRACTIONAL FACTORIAL DESIGNS. , 1964 .

[107]  M. Glasser,et al.  Linear Regression Analysis with Missing Observations among the Independent Variables , 1964 .

[108]  R. Bargmann,et al.  MAXIMUM LIKELIHOOD ESTIMATION WITH INCOMPLETE MULTIVARIATE DATA , 1964 .

[109]  W. T. Federer,et al.  Relationships between a Three-Way Classification Disproportionate Numbers Analysis of Variance and Several Two-Way Classification and Nested Analyses , 1963 .

[110]  Richard F. Kosobud,et al.  A Note on a Problem Caused by Assignment of Missing Data in Sample Surveys , 1963 .

[111]  M. Friedman The Interpolation of Time Series by Related Series , 1962 .

[112]  Emanuel Parzen,et al.  ON SPECTRAL ANALYSIS WITH MISSING OBSERVATIONS AND AMPLITUDE MODULATION , 1962 .

[113]  D. J. Finney 175 NOTE: An Unusual Salvage Operation , 1962 .

[114]  Richard H. Jones,et al.  SPECTRAL ANALYSIS WITH REGULARLY MISSED OBSERVATIONS , 1962 .

[115]  Myron B. Fiering,et al.  ON THE USE OF CORRELATION TO AUGMENT DATA , 1962 .

[116]  J. L. Folks,et al.  Note on the Missing Plot Procedure in a Randomized Block Design , 1961 .

[117]  Norman R. Drapery Missing Values in Response Surface Designs , 1961 .

[118]  John E. Walsh,et al.  Computer-Feasible Method for Handling Incomplete Data in Regression Analysis , 1961, JACM.

[119]  D. J. Bartholomew,et al.  A Method of Allowing for `Not-at-Home' Bias in Sample Surveys , 1961 .

[120]  Clyde Young Kramer,et al.  Analysis of variance of a balanced incomplete block design with missing observations , 1960 .

[121]  G. N. Wilkinson COMPARISON OF MISSING VALUE PROCEDURES , 1960 .

[122]  S. F. Buck A Method of Estimation of Missing Values in Multivariate Data Suitable for Use with an Electronic Computer , 1960 .

[123]  O. Dykstra Rank Analysis of Incomplete Block Designs: A Method of Paired Comparisons Employing Unequal Repetitions on Pairs , 1960 .

[124]  Clyde Young Kramer,et al.  Analysis of Variance of a Latin Square Design with Missing Observations , 1960 .

[125]  D. J. Finney,et al.  140. Query: Test of Difference between Treatment and Control with Multiple Replications of Control and a Missing Plot , 1959 .

[126]  J. D. Biggers,et al.  THE ESTIMATION OF MISSING AND MIXED-UP OBSERVATIONS IN SEVERAL EXPERIMENTAL DESIGNS , 1959 .

[127]  William Alexander Glenn,et al.  Analysis of variance of a randomised block design with missing observations. , 1958 .

[128]  G. N. Wilkinson The Analysis of Variance and Derivation of Standard Errors for Incomplete Data , 1958 .

[129]  H. Hartley Maximum Likelihood Estimation from Incomplete Data , 1958 .

[130]  E. Kaplan,et al.  Nonparametric Estimation from Incomplete Observations , 1958 .

[131]  G. N. Wilkinson Estimation of Missing Values for the Analysis of Incomplete Data , 1958 .

[132]  Marvin A. Kastenbaum,et al.  Estimation of Relative Frequencies of Four Sperm Types in Drosophila Melanogaster , 1958 .

[133]  George E. Nicholson,et al.  Estimation of Parameters from Incomplete Multivariate Samples , 1957 .

[134]  G. N. Wilkinson The Analysis of Covariance with Incomplete Data , 1957 .

[135]  Irma J. Coons,et al.  The Analysis of Covariance as a Missing Plot Technique , 1957 .

[136]  W. G. Cochran Analysis of covariance: Its nature and uses. , 1957 .

[137]  T. W. Anderson Maximum Likelihood Estimates for a Multivariate Normal Distribution when Some Observations are Missing , 1957 .

[138]  H. Fairfield Smith,et al.  125. Note: Missing Plot Estimates , 1957 .

[139]  K. A. Brownlee,et al.  A Note on the Effects of Nonresponse on Surveys , 1957 .

[140]  M. Healy,et al.  Missing Values in Experiments Analysed on Automatic Computers , 1956 .

[141]  H. R. Thompson Extensions to Missing Plot Techniques , 1956 .

[142]  C. Radhakrishna Rao,et al.  Analysis of Dispersion with Incomplete Observations on One of the Characters , 1956 .

[143]  H. O. Hartley,et al.  A Plan for Programming Analysis of Variance for General Purpose Computers , 1956 .

[144]  H. Fairfield Smith,et al.  Adjustment by Covariance and Consequent Tests of Significance in Split-Plot Experiments , 1956 .

[145]  George L. Edgett Multiple Regression with Missing Observations Among the Independent Variables , 1956 .

[146]  G. S. Watson,et al.  Missing and "Mixed-Up" Frequencies in Contingency Tables , 1956 .

[147]  Frederic M. Lord,et al.  Equating test scores—A maximum likelihood solution , 1955 .

[148]  Horace W. Norton,et al.  A Further Note on Missing Data , 1955 .

[149]  Frederic M. Lord,et al.  Estimation of Parameters from Incomplete Data , 1954 .

[150]  J. A. Nelder,et al.  A Note on Missing-Plot Values , 1954 .

[151]  Marvin Zelen,et al.  ANALYSIS FOR SOME PARTIALLY BALANCED INCOMPLETE BLOCK DESIGNS HAVING A MISSING BLOCK , 1954 .

[152]  C. R. Henderson ESTIMATION OF VARIANCE AND COVARIANCE COMPONENTS , 1953 .

[153]  C. C. Craig,et al.  Combination of Neighboring Cells in Contingency Tables , 1953 .

[154]  J. TAYLOR,et al.  Errors of Treatment Comparisons when Observations are Missing , 1948, Nature.

[155]  D. B. De Lury,et al.  The Analysis of Latin Squares when Some Observations are Missing , 1946 .

[156]  Fei Tsao,et al.  General solution of the analysis of variance and covariance in the case of unequal or disproportionate numbers of observations in the subclasses , 1946 .

[157]  Anderson Rl,et al.  Missing-plot techniques. , 1946 .

[158]  William G. Cochran,et al.  The analysis of groups of experiments , 1938, The Journal of Agricultural Science.

[159]  M. S. Bartlett,et al.  Some examples of statistical methods of research in agriculture and applied biology , 1937 .

[160]  F. Yates Incomplete randomized blocks , 1936 .

[161]  Frank Yates,et al.  Incomplete Latin squares , 1936, The Journal of Agricultural Science.

[162]  H. K. Hayes,et al.  Statistical Determination of Barley Varietal Adaptation1 , 1934 .

[163]  Frank Yates,et al.  The Analysis of Multiple Classifications with Unequal Numbers in the Different Classes , 1934 .

[164]  F. Yates The analysis of replicated experiments when the field results are incomplete , 1933 .

[165]  A. E. Brandt,et al.  The Analysis of Variance in a “2×s” Table with Disproportionate Frequencies , 1933 .

[166]  S. S. Wilks Moments and Distributions of Estimates of Population Parameters from Fragmentary Samples , 1932 .

[167]  K. Pearson,et al.  On the Theory of Contingency , 1930 .

[168]  J. Wishart,et al.  A Method of Estimating the Yield of a Missing Plot in Field Experimental Work , 1930, The Journal of Agricultural Science.

[169]  J. A. Harris,et al.  A Second Category of Limitations in the Applicability of the Contingency Coefficient , 1929 .

[170]  A. Treloar,et al.  On a Limitation in the Applicability of the Contingency Coefficient , 1927 .

[171]  M. G. Dagenais,et al.  A General Approach for Estimating Econometric Models with Incomplete Observations , 1982 .

[172]  J. Heckman Sample selection bias as a specification error , 1979 .

[173]  Donald B. Rubin,et al.  Bayesian Inference for Causal Effects: The Role of Randomization , 1978 .

[174]  Roderick J. A. Little,et al.  Consistent Regression Methods for Discriminant Analysis with Incomplete Data , 1978 .

[175]  R. R. Hocking,et al.  A Procedure for Editing Survey Data , 1974 .

[176]  Victor Ginsburgh,et al.  A further note on the derivation of quarterly figures consistent with annual data , 1973 .

[177]  J D Williams,et al.  TWO WAY FIXED EFFECTS ANALYSIS OF VARIANCE WITH DISPROPORTIONATE CELL FREQUENCIES. , 1972, Multivariate behavioral research.

[178]  Gary G. Koch,et al.  Linear models analysis of incomplete multivariate categorical data , 1972 .

[179]  M. Woodbury A missing information principle: theory and applications , 1972 .

[180]  J. N. Srivastava,et al.  Incomplete multiresponse designs , 1971 .

[181]  S. C. Pearce,et al.  Block Designs and Missing Data , 1971 .

[182]  David G. Kleinbaum,et al.  A general method for obtaining test criteria for multivariate linear models with more than one design matrix and/or incomplete in response variates , 1969 .

[183]  J. Overall,et al.  Concerning least squares analysis of experimental data. , 1969 .

[184]  Y. Haitovsky Missing Data in Regression Analysis , 1968 .

[185]  H. O. Hartley,et al.  Classification and Estimation in Analysis of Variance Problems , 1968 .

[186]  E Jennings,et al.  FIXED EFFECTS ANALYSIS OF VARIANCE BY REGRESSION ANALYSIS. , 1967, Multivariate behavioral research.

[187]  Arnold Zellner,et al.  On the Analysis of First Order Autoregressive Models with Incomplete Data , 1966 .

[188]  Henri Caussinus,et al.  Contribution à l'analyse statistique des tableaux de corrélation , 1965 .

[189]  J. Sandee,et al.  Derivation of Quarterly Figures from Annual Data , 1964 .

[190]  L A Goodman,et al.  A short computer program for the analysis of transaction flows. , 1964, Behavioral science.

[191]  Leo A. Goodman,et al.  Statistical Methods for the Preliminary Analysis of Transaction Flows , 1963 .

[192]  William Kruskal,et al.  The Coordinate-free Approach to Gauss-Markov Estimation, and Its Application to Missing and Extra Observations , 1961 .

[193]  R. J. Monroe,et al.  An investigation of some multiple regression methods for incomplete samples , 1959 .

[194]  K. D. Tocher The Design and Analysis of Block Experiments , 1952 .

[195]  H. F. Smith,et al.  Error variance of treatment contrasts in an experiment with missing observations with special reference to incomplete Latin squares. , 1950 .

[196]  E. A. Cornish The estimation of missing values in incomplete randomized block experiments. , 1940 .

[197]  E. A. Cornish THE ESTIMATION OF MISSING VALUES IN QUASI-FACTORIAL DESIGNS , 1940 .

[198]  Frank Yates,et al.  The analysis of Latin squares when two or more rows, columns, or treatments are missing , 1939 .

[199]  G. M. Cox,et al.  Disproportionate subclass numbers in tables of multiple classification , 1935 .