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Statistical analysis with missing data

Little, Roderick J. A.; Little, Roderick J. A.; Rubin, … - 2002 - 2. ed.

Persistent link: https://www.econbiz.de/10009517164

The general linear model and direct standardization : a comparison

Little, Roderick J. A. - 1979

Persistent link: https://www.econbiz.de/10002379634

Generalized linear models for cross-classified data from the WFS

Little, Roderick J. A. - 1978

Persistent link: https://www.econbiz.de/10002379667

Linear models for WFS data

Little, Roderick J. A. - 1980

Persistent link: https://www.econbiz.de/10002379709

A note about models for selectivity bias

Little, Roderick J. A. - In: Econometrica : journal of the Econometric Society, an … 53 (1985) 6, pp. 1469-1474

Persistent link: https://www.econbiz.de/10002379720

Sampling errors of fertility rates from the W.F.S.

Little, Roderick J. A. - 1982

Persistent link: https://www.econbiz.de/10002379738

Some statistical analysis issues at the World Fertility Survey

Little, Roderick J. A. - In: The American statistician : a publication of the … 42 (1988) 1, pp. 31-36

Persistent link: https://www.econbiz.de/10001079067

Generalized linear models for cross-classified data from the WFS

Little, Roderick J. A. - In: Technical bulletins / World Fertility Survey, … 5 (1978)

Persistent link: https://www.econbiz.de/10004808610

Sampling errors of fertility rates from the WFS

Little, Roderick J. A. - In: Technical bulletins / World Fertility Survey, … 10 (1982)

Persistent link: https://www.econbiz.de/10004808612

A Profile Conditional Likelihood Approach for the Semiparametric Transformation Regression Model with Missing Covariates

Chen, Hua Yun; Little, Roderick J. A. - 2001

We propose a profile conditional likelihood approach to handle missing covariates in the general semiparametric transformation regression model. The method estimates the marginal survival function by the Kaplan-Meier estimator, and then estimates the parameters of the survival model and the...

Persistent link: https://www.econbiz.de/10009477090