[On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies

[1]  Rory A. Fisher,et al.  The Arrangement of Field Experiments , 1992 .

[2]  D B Rubin,et al.  Practical implications of modes of statistical inference for causal effects and the critical role of the assignment mechanism. , 1991, Biometrics.

[3]  B. Efron,et al.  Compliance as an Explanatory Variable in Clinical Trials , 1991 .

[4]  A. Gelman,et al.  Estimating Incumbency Advantage Without Bias , 1990 .

[5]  M. Sobel Effect analysis and causation in linear structural equation models , 1990 .

[6]  Joseph B. Kadane,et al.  Randomization in a bayesian perspective , 1990 .

[7]  A. Dempster Causality and statistics , 1990 .

[8]  Donald B. Rubin,et al.  Formal modes of statistical inference for causal effects , 1990 .

[9]  James J. Heckman,et al.  Causal Inference and Nonrandom Samples , 1989 .

[10]  J. Robins The control of confounding by intermediate variables. , 1989, Statistics in medicine.

[11]  James J. Heckman,et al.  Choosing Among Alternative Nonexperimental Methods for Estimating the Impact of Social Programs: the Case of Manpower Training , 1989 .

[12]  Robert Schlaifer,et al.  On the interpretation and observation of laws , 1988 .

[13]  R. Sugden,et al.  Sampling and Assignment Mechanisms in Experiments, Surveys and Observational , 1988 .

[14]  P. Holland CAUSAL INFERENCE, PATH ANALYSIS AND RECURSIVE STRUCTURAL EQUATIONS MODELS , 1988 .

[15]  S. Greenland,et al.  Invariants and noninvariants in the concept of interdependent effects. , 1988, Scandinavian journal of work, environment & health.

[16]  J. Robins A graphical approach to the identification and estimation of causal parameters in mortality studies with sustained exposure periods. , 1987, Journal of chronic diseases.

[17]  D. Rubin Statistics and Causal Inference: Comment: Which Ifs Have Causal Answers , 1986 .

[18]  P. Holland Statistics and Causal Inference , 1985 .

[19]  Constance Reid Neyman from Life , 1982 .

[20]  D. Rubin,et al.  ON LORD'S PARADOX , 1982 .

[21]  P. McCullagh,et al.  Some aspects of analysis of covariance. , 1982, Biometrics.

[22]  Robert Schlaifer,et al.  On the nature and discovery of structure , 1981 .

[23]  D. Rubin Randomization Analysis of Experimental Data: The Fisher Randomization Test Comment , 1980 .

[24]  D. Basu Randomization Analysis of Experimental Data: The Fisher Randomization Test , 1980 .

[25]  Stephen M. Stigler,et al.  American Contributions to Mathematical Statistics in the Nineteenth Century (Vol. I & II). , 1980 .

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

[27]  Joan Fisher Box,et al.  R. A. Fisher, the Life of a Scientist , 1978 .

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

[29]  Leonard J. Savage,et al.  On Rereading R. A. Fisher , 1976 .

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

[31]  Michail Prodan,et al.  CHAPTER 17 – THE PLANNING OF EXPERIMENTS , 1968 .

[32]  G. W. Snedecor STATISTICAL METHODS , 1967 .

[33]  W. G. Cochran The Planning of Observational Studies of Human Populations , 1965 .

[34]  D. Campbell,et al.  EXPERIMENTAL AND QUASI-EXPERIMENT Al DESIGNS FOR RESEARCH , 2012 .

[35]  D. Cox THE INTERPRETATION OF THE EFFECTS OF NON-ADDITIVITY IN THE LATIN SQUARE , 1958 .

[36]  J. Tukey,et al.  AVERAGE VALUES OF MEAN SQUARES IN FACTORIALS , 1956 .

[37]  David R. Cox,et al.  A Note on Weighted Randomization , 1956 .

[38]  Oscar Kempthorne,et al.  THE RANDOMIZATION THEORY OF' EXPERIMENTAL INFERENCE* , 1955 .

[39]  Oscar Kempthorne,et al.  The Design and Analysis of Experiments , 1952 .

[40]  F. J. Anscombe,et al.  The Validity of Comparative Experiments , 1948 .

[41]  Satterthwaite Fe An approximate distribution of estimates of variance components. , 1946 .

[42]  Charles C. Peters,et al.  A Method of Matching Groups for Experiment with No Loss of Population , 1941 .

[43]  M. D. McCarthy On the Application of the Z-Test to Randomized Blocks , 1939 .

[44]  E. Pitman SIGNIFICANCE TESTS WHICH MAY BE APPLIED TO SAMPLES FROM ANY POPULATIONS III. THE ANALYSIS OF VARIANCE TEST , 1938 .

[45]  B. L. Welch ON THE z-TEST IN RANDOMIZED BLOCKS AND LATIN SQUARES , 1937 .

[46]  J. Neyman On the Two Different Aspects of the Representative Method: the Method of Stratified Sampling and the Method of Purposive Selection , 1934 .

[47]  Student,et al.  On Testing Varieties of Cereals , 1923 .

[48]  J. Mill A System of Logic , 1843 .