We include Stata syntax that creates panel datasets for negative binomial time series regression analyses, as described in our paper "Examining methodology to identify patterns of consulting in primary care for different groups of patients before a diagnosis of cancer: an exemplar applied to oesophagogastric cancer". We also include a sample dataset for clarity. The variables are defined as follows:case: binary variable for case or control status (takes a value of 0 for controls and 1 for cases).patid: a unique patient identifier.time_period: A count variable denoting the time period. In this example, 1 denotes 24 months before diagnosis with cancer, and 24 denotes the month of diagnosis with cancer, ncons: number of consultation...
<p>Results of negative binomial regression analysis, giving incidence rate ratios of change in demen...
Zero-inflated negative binomial regression models for the number of consultations of each healthcare...
This data is for the programs written in the Economics WP from the University of Melbourne entitled:...
<p>Negative binomial regression analysis of lay latency as a function of lesion category.</p
gnbstrat fits a maximum-likelihood generalized negative binomial with endogenous stratification regr...
Social science and behavioral science students and researchers are often confronted with data that a...
We present new Stata commands for estimating several regression models suitable for analyzing overdi...
1 Stata: the language of choice for time series analysis? Over time, Stata has come to incorporate m...
Negative binomial regression results of models with different datasets and variables (standard error...
Regression Models for Categorical Dependent Variables Using Stata, 2nd Edition, by J. Scott Long and...
This document provides an introduction to the use of Stata. It is designed to be an overview rather ...
The statsby command collects statistics from a command yielding r-class or e-class results across gr...
<p>Negative binomial regression analysis of total egg production as a function of lesion category.</...
The statsby command collects statistics from a command yielding r-class or e-class results across gr...
<p>Note. The incidence rate ratio (IRR) represents the change in the dependent variable (days of hos...
<p>Results of negative binomial regression analysis, giving incidence rate ratios of change in demen...
Zero-inflated negative binomial regression models for the number of consultations of each healthcare...
This data is for the programs written in the Economics WP from the University of Melbourne entitled:...
<p>Negative binomial regression analysis of lay latency as a function of lesion category.</p
gnbstrat fits a maximum-likelihood generalized negative binomial with endogenous stratification regr...
Social science and behavioral science students and researchers are often confronted with data that a...
We present new Stata commands for estimating several regression models suitable for analyzing overdi...
1 Stata: the language of choice for time series analysis? Over time, Stata has come to incorporate m...
Negative binomial regression results of models with different datasets and variables (standard error...
Regression Models for Categorical Dependent Variables Using Stata, 2nd Edition, by J. Scott Long and...
This document provides an introduction to the use of Stata. It is designed to be an overview rather ...
The statsby command collects statistics from a command yielding r-class or e-class results across gr...
<p>Negative binomial regression analysis of total egg production as a function of lesion category.</...
The statsby command collects statistics from a command yielding r-class or e-class results across gr...
<p>Note. The incidence rate ratio (IRR) represents the change in the dependent variable (days of hos...
<p>Results of negative binomial regression analysis, giving incidence rate ratios of change in demen...
Zero-inflated negative binomial regression models for the number of consultations of each healthcare...
This data is for the programs written in the Economics WP from the University of Melbourne entitled:...