Multinomial–Poisson Transformation

[1]  Stuart G. Baker,et al.  Evaluating a new test using a reference test with estimated sensitivity and specificity , 1991 .

[2]  V. T. Farewell,et al.  Some results on the estimation of logistic models based on retrospective data , 1979 .

[3]  Peter McCullagh,et al.  Some applications of quasisymmetry , 1982 .

[4]  Norman E. Breslow,et al.  Logistic regression for two-stage case-control data , 1988 .

[5]  Stephen E. Fienberg,et al.  Discrete Multivariate Analysis: Theory and Practice , 1976 .

[6]  Joseph B. Lang,et al.  Obtaining the observed information matrix for the Poisson log linear model with incomplete data , 1992 .

[7]  T. Fears,et al.  Logistic regression methods for retrospective case-control studies using complex sampling procedures. , 1986, Biometrics.

[8]  P. Jupp,et al.  Inference for Poisson and multinomial models for capture-recapture experiments , 1991 .

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

[10]  Alan Agresti,et al.  Computing conditional maximum likelihood estimates for generalized Rasch models using simple loglinear models with diagonals parameters , 1993 .

[11]  Henk Kelderman,et al.  Item bias detection using loglinear irt , 1989 .

[12]  Xiao-Li Meng,et al.  The AIDS Epidemic: Estimating Survival After AIDS Diagnosis From Surveillance Data , 1993 .

[13]  Georg Rasch,et al.  Probabilistic Models for Some Intelligence and Attainment Tests , 1981, The SAGE Encyclopedia of Research Design.

[14]  A. Scott,et al.  Fitting Logistic Regression Models in Stratified Case-Control Studies , 1991 .

[15]  Noel A Cressie,et al.  Characterizing the manifest probabilities of latent trait models , 1983 .

[16]  Mitchell H. Gail,et al.  Case-Control Studies With Errors in Covariates , 1993 .

[17]  Baker Sg A simple EM algorithm for capture-recapture data with categorical covariates. , 1990 .

[18]  M. Conaway Analysis of Repeated Categorical Measurements with Conditional Likelihood Methods , 1989 .

[19]  R. Pyke,et al.  Logistic disease incidence models and case-control studies , 1979 .

[20]  F. Richards A Method of Maximum‐Likelihood Estimation , 1961 .

[21]  Innovations in screening: evaluating periodic screening without using data from a control group. , 1989 .

[22]  S. Baker Composite linear models for incomplete multinomial data. , 1994, Statistics in medicine.

[23]  Juni Palmgren,et al.  The Fisher information matrix for log linear models arguing conditionally on observed explanatory variable , 1981 .

[24]  Stephen E. Fienberg,et al.  The analysis of cross-classified categorical data , 1980 .

[25]  N. Breslow,et al.  Estimation of multiple relative risk functions in matched case-control studies. , 1978, American journal of epidemiology.

[26]  E. B. Andersen,et al.  Asymptotic Properties of Conditional Maximum‐Likelihood Estimators , 1970 .

[27]  R. Carroll,et al.  The partial questionnaire design for case-control studies. , 1994, Statistics in medicine.

[28]  J. Darroch,et al.  The Mantel-Haenszel Test and Tests of Marginal Symmetry; Fixed-Effects and Mixed Models for a Categorical Response, Correspondent Paper , 1981 .

[29]  R. L. Prentice,et al.  Retrospective studies and failure time models , 1978 .

[30]  J. Whitehead Fitting Cox's Regression Model to Survival Data Using Glim , 1980 .

[31]  R Brookmeyer,et al.  Statistical methods for short-term projections of AIDS incidence. , 1989, Statistics in medicine.

[32]  N. Breslow,et al.  Statistical methods in cancer research. Vol. 1. The analysis of case-control studies. , 1981 .

[33]  R Brookmeyer,et al.  The analysis of delays in disease reporting: methods and results for the acquired immunodeficiency syndrome. , 1990, American journal of epidemiology.

[34]  S. Thompson Modelling in matched case-control studies in epidemiology , 1986 .

[35]  S G Baker A simple EM algorithm for capture-recapture data with categorical covariates. , 1990, Biometrics.

[36]  B. Turnbull The Empirical Distribution Function with Arbitrarily Grouped, Censored, and Truncated Data , 1976 .

[37]  D. Rubin,et al.  Statistical Analysis with Missing Data , 1988 .

[38]  S. Baker The Multinomial‐Poisson Transformation , 1994 .

[39]  W. Esty Votes or Competitions Which Determine a Winner by Estimating Expected Plurality , 1992 .

[40]  David R. Cox,et al.  Regression models and life tables (with discussion , 1972 .

[41]  A. Ekholm,et al.  Exponential family non‐linear models for categorical data with errors of observation , 1987 .

[42]  W F Rosenberger,et al.  Closed-form estimates for missing counts in two-way contingency tables. , 1992, Statistics in medicine.

[43]  N E Breslow,et al.  Logistic regression for stratified case-control studies. , 1988, Biometrics.

[44]  Tue Tjur,et al.  A Connection between Rasch's Item Analysis Model and a Multiplicative Poisson Model , 1982 .

[45]  H. Kelderman,et al.  Loglinear Rasch model tests , 1984 .

[46]  Martin Abba Tanner,et al.  Tools for Statistical Inference: Observed Data and Data Augmentation Methods , 1993 .

[47]  M. Gail,et al.  Likelihood calculations for matched case-control studies and survival studies with tied death times , 1981 .

[48]  B. Woolf ON ESTIMATING THE RELATION BETWEEN BLOOD GROUP AND DISEASE , 1955, Annals of human genetics.

[49]  R. Okafor Maximum likelihood estimation from incomplete data , 1987 .