Analysing Individuals’ Fertility Behaviour Using Machine Learning Techniques: An Application of Random Survival Forest to French Data •
Isaure Delaporte, University of St Andrews;
Hill Kulu, University of St Andrews.
Improving methodology for fertility forecasting through the incorporation of individual-level data and population-level parity information •
Joanne Ellison, University of Southampton;
Ann M. Berrington, University of Southampton;
Erengul Dodd, University of Southampton;
Jonathan J. Forster, University of Warwick;
Jakub Bijak, University of Southampton.
Data Performativity in Sexual and Reproductive Health: A critical reflection on the constructions and uses of surveys •
Joe Strong, London School of Economics and Political Science (LSE).
Imputation of full birth histories from census data: a rediscovered method for the detailed analysis of fertility •
Ian M. Timaeus, LSHTM.
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