Planning and Analysis of Observational Studies.

Treats studies, primarily in human populations, that show casual effects of certain agents, procedures, treatment or programs. Deals with the difficulties that comparative observational studies have because of bias in their design and analysis. Systematically considers the many sources of bias and discusses how care in matching or adjustment of results can reduce the effects of bias in these investigations.

[1]  William G. Cochran,et al.  The Use of Covariance in Observational Studies , 1969 .

[2]  G. C. Tiao,et al.  A CHANGE IN LEVEL OF A NON-STATIONARY TIME SERIES. , 1965 .

[3]  A note on the analysis of covariance , 1936, The Journal of Agricultural Science.

[4]  J. Douglas.  “Premature” Children at Primary Schools* , 1960, British medical journal.

[5]  Contributions to the theory of systematic statistics , 1954 .

[6]  Frank Yates.  Theory and Practice in Statistics , 1968 .

[7]  H L Ross,et al.  THE CONNECTICUT CRACKDOWN ON SPEEDING: TIME-SERIES DATA IN QUASI-EXPERIMENTAL ANALYSIS , 1968 .

[8]  A. Buck,et al.  Coca chewing and health. An epidemiologic study among residents of a Peruvian village. , 1968, American journal of epidemiology.

[9]  W. G. Cochran.  Some Methods for Strengthening the Common χ 2 Tests , 1954 .

[10]  W. G. Cochran.  The comparison of percentages in matched samples. , 1950, Biometrika.

[11]  Billewicz Wz,et al.  The efficiency of matched samples: an empirical investigation. , 1965 .

[12]  R. Boruch,et al.  3 – Making the Case for Randomized Assignment to Treatments by Considering the Alternatives: Six Ways in Which Quasi-Experimental Evaluations In Compensatory Education Tend to Underestimate Effects , 1975 .

[13]  W. G. Cochran.  Some effects of errors of measurement on linear regression , 1972 .

[14]  D. Rubin.  Matched Sampling for Causal Effects: Matching to Remove Bias in Observational Studies , 1973 .

[15]  D. Cox.  Note on Grouping , 1957 .