SADI: Sequence Analysis Tools for Stata

The SADI package provides tools for sequence analysis, which focuses on the similarity and dissimilarity between categorical time series such as life-course trajectories. SADI‘s main components are tools to calculate intersequence distances using several different algorithms, including the optimal matching algorithm, but it also includes utilities to graph, summarize, and manage sequence data. It provides similar functionality to the R package TraMineR and the Stata package SQ but is substantially faster than the latter.

[1]  Pierre-François Marteau Time Warp Edit Distance , 2008, ArXiv.

[2]  Brendan Halpin,et al.  Three Narratives of Sequence Analysis , 2014 .

[3]  James Bailey,et al.  Information theoretic measures for clusterings comparison: is a correction for chance necessary? , 2009, ICML '09.

[4]  A. Abbott,et al.  Optimal Matching Methods for Historical Sequences , 1986 .

[5]  Aart C. Liefbroer,et al.  De-standardization of Family-Life Trajectories of Young Adults: A Cross-National Comparison Using Sequence Analysis , 2007 .

[6]  Laurent Lesnard,et al.  Off‐Scheduling within Dual‐Earner Couples: An Unequal and Negative Externality for Family Time1 , 2007, American Journal of Sociology.

[7]  Germain Forestier,et al.  Classification of surgical processes using dynamic time warping , 2012, J. Biomed. Informatics.

[8]  Matissa N. Hollister,et al.  Is Optimal Matching Suboptimal? , 2009 .

[9]  L. Hubert,et al.  Comparing partitions , 1985 .

[10]  Ulrich Kohler,et al.  Sequence Analysis with Stata , 2006 .

[11]  Philippe Blanchard,et al.  Advances in sequence analysis : theory, method, applications , 2014 .

[12]  Brendan Halpin,et al.  Class careers as sequences : An optimal matching analysis of work-life histories , 1998 .

[13]  Benjamin Cornwell,et al.  Social Sequence Analysis: Methods and Applications , 2015 .

[14]  Brendan Halpin,et al.  Multiple Imputation for Categorical Time Series , 2016 .

[15]  Gilbert Ritschard,et al.  Discrepancy Analysis of State Sequences , 2011 .

[16]  Brendan Halpin,et al.  Optimal Matching Analysis and Life-Course Data: The Importance of Duration , 2010 .

[17]  Hjp Harry Timmermans,et al.  Vacation behavior using a sequence alignment method , 2002 .

[18]  Pierre-François Marteau,et al.  Time Warp Edit Distance with Stiffness Adjustment for Time Series Matching , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[19]  D. McVicar,et al.  Predicting Successful and Unsuccessful Transitions from School to Work Using Sequence Methods August 2000 , 2000 .

[20]  Peter Martin,et al.  Beyond Transitions: Applying Optimal Matching Analysis to Life Course Research , 2008 .

[21]  A. Fasang,et al.  Sibling Similarity in Family Formation , 2014, Demography.

[22]  Gilbert Ritschard,et al.  What matters in differences between life trajectories: a comparative review of sequence dissimilarity measures , 2016 .

[23]  C. Reilly,et al.  A rapid method for the comparison of cluster analyses , 2005 .