Replication Data for: Survival of the Best Fit: Modelling Nuclear Proliferation
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The study of nuclear proliferation has recently undergone a renaissance,one element of which is the widespread application of a particularstatistical technique known as survival modelling. But survival modelsare often misapplied and this misapplication has consequences for ourunderstanding of nuclear proliferation. Scholars of nuclear proliferationconsistently fail to account for two methodological challenges present insurvival modelling: selecting an appropriate distribution and meeting theproportional hazards assumption. We show by example how accountingfor these challenges alters key results and has a bearing on currentdebates in the field. We endorse the continued, judicious application ofmethodologically sound survival models and conclude by highlightingthree possible theoretical and methodological paths forwa' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Duration analysis/Duration model, Data, Statistical methodology, Time series, nuclear proliferation"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The study of nuclear proliferation has recently undergone a renaissance,one element of which is the widespread application of a particularstatistical technique known as survival modelling. But survival modelsare often misapplied and this misapplication has consequences for ourunderstanding of nuclear proliferation. Scholars of nuclear proliferationconsistently fail to account for two methodological challenges present insurvival modelling: selecting an appropriate distribution and meeting theproportional hazards assumption. We show by example how accountingfor these challenges alters key results and has a bearing on currentdebates in the field. We endorse the continued, judicious application ofmethodologically sound survival models and conclude by highlightingthree possible theoretical and methodological paths forwa' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The study of nuclear proliferation has recently undergone a renaissance,one element of which is the widespread application of a particularstatistical technique known as survival modelling. But survival modelsare often misapplied and this misapplication has consequences for ourunderstanding of nuclear proliferation. Scholars of nuclear proliferationconsistently fail to account for two methodological challenges present insurvival modelling: selecting an appropriate distribution and meeting theproportional hazards assumption. We show by example how accountingfor these challenges alters key results and has a bearing on currentdebates in the field. We endorse the continued, judicious application ofmethodologically sound survival models and conclude by highlightingthree possible theoretical and methodological paths forwa
Duration analysis/Duration model, Data, Statistical methodology, Time series, nuclear proliferation