Coefficient-Wise Tree-Based Varying Coefficient Regression with vcrpart

The tree-based TVCM algorithm and its implementation in the R package vcrpart are introduced for generalized linear models. The purpose of TVCM is to learn whether and how the coefficients of a regression model vary by moderating variables. A separate partition is built for each potentially varying coefficient, allowing the user to specify coefficient-specific sets of potential moderators, and allowing the algorithm to select moderators individually by coefficient. In addition to describing the algorithm, the TVCM is evaluated using a benchmark comparison and a simulation study and the R commands are demonstrated by means of empirical applications

Geneva. An Urban Sociodemographic Database

The Geneva databases are a data resource covering the period 1800–1880 for the city of Geneva, and occasionally the canton of Geneva. The research team adopted an alphabetical sampling approach, collecting data on individuals whose surname begins with the letter B. The individuals and households belonging to this sample in six population censuses between 1816 and 1843 were digitised and linked. A second database collected marriage and divorce records for the period 1800–1880. A third collection of data included residence permits. All these sources were used for a massive reconstitution of families. This article presents the sources, the linking methods, the typologies used to code places and occupations, to study household structures and forms of solitude. Combined with qualitative information extracted from the archives of public administrations and the National Protestant Church, as well as from newspapers, these databases were used to study the transformation of a medium-sized European city, sociopolitical tensions embedded in demographic and social structures, and the impact of the immigrants who made the 'Calvinist Rome' a religiously mixed city

A multicenter phase II trial of anti-EGFR-immunoliposomes loaded with doxorubicin in patients with advanced triple negative breast cancer

Advanced triple negative breast cancer (TNBC) is an aggressive, but initially chemo-sensitive disease. The prognosis is poor and more than three quarters of patients experience progression 12 months after the initiation of conventional first-line chemotherapy. Approximately two thirds of TNBC express epidermal growth factor receptor 1 (EGFR). We have developed an anti-EGFR targeted nanocontainer drug by inserting anti-EGFR antibody fragments into the membrane of pegylated liposomes (anti-EGFR-ILs-dox). The payload consists of doxorubicin, a standard drug for TNBC. In a first-in-human phase I trial in 26 patients with various advanced solid malignancies, anti-EGFR-ILs-dox has shown little toxicity and encouraging efficacy. In this single-arm phase II trial, we assessed the efficacy of anti-EGFR-ILs-dox as first-line therapy in patients with advanced, EGFR + TNBC. The primary endpoint was progression-free survival at 12 months (PFS12m). Secondary endpoints included overall response rate (ORR), duration of response (DOR), time to progression (TTP), overall survival (OS) and adverse events (AEs). 48 patients received anti-EGFR-ILs-dox 50 mg/m$^{2}$ iv, on day one of a 28 days-cycle until progression. The Kaplan-Meier estimate for PFS12m was 13% (one-sided 90% CI 7%, 95% CI [5%, 25%]), median PFS was 3.5 months (95% CI 1.9, 5.4). The trial has not reached its primary endpoint. There were no new toxicity signals. Based on these results, anti-EGFR-ILs-dox should not be further developed for TNBC. It remains an open question whether anti-EGFR-ILs-dox would offer more opportunities in other EGFR-expressing malignancies, where targeting this receptor has already shown anticancer effects.Trial registration: This trial was registered at clinicaltrials.gov: NCT02833766. Registered 14/07/2016

Changes in the order of family life events in 20th-century Europe: a cross-regional perspective

This article analyzes the evolution of the sequencing of family life events in Europe during the second half of the 20th century using individual data from the European Social Survey and from the Generation and Gender Program. Considering the four events ‘leaving the parental home‘, ‘first cohabiting union‘, ‘first marriage‘, and ‘first parenthood‘, we hypothesize a transition from a traditional standard event order characterized by a high degree of synchronization between the first three events towards a new standard whose features are a high degree of de-synchronization between first cohabitation and first marriage and a reversal of the traditional order between first marriage and first parenthood. We also hypothesize cross-regional differences in the timing and in the shape of the transition from one standard to another. Applying specifically developed tools to visualize and analyze event sequences, we show important regional variation in the evolution of the sequencing of family life events. Hardly any change can be observed in Southern Europe, where the sequencing behavior of family events has remained highly standardized and rooted in the traditional standard. In Eastern Europe where family event sequences have become less standardized and where a particular sequence characterized by the reversal of the traditional order between leaving home and family formation has been observed, the hypothesized transition is still in its very beginning. In Western Europe the transition is clearly on its way, but no re-standardization towards a new standard can be observed as for now. As expected, the transition is most advanced in Northern Europe, where evidence for a certain re-standardization process in the sequencing of family life events has been found

Tree-based varying coefficient regression for longitudinal ordinal responses

A tree-based algorithm for longitudinal regression analysis that aims to learn whether and how the effects of predictor variables depend on moderating variables is presented. The algorithm is based on multivariate generalized linear mixed models and it builds piecewise constant coefficient functions. Moreover, it is scalable for many moderators of possibly mixed scales, integrates interactions between moderators and can handle nonlinearities. Although the scope of the algorithm is quite general, the focus is on its usage in an ordinal longitudinal regression setting. The potential of the algorithm is illustrated by using data derived from the British Household Panel Study, to show how the effect of unemployment on self-reported happiness varies across individual life circumstance

A Decorated Parallel Coordinate Plot for Categorical Longitudinal Data

This article proposes a decorated parallel coordinate plot for longitudinal categorical data, featuring a jitter mechanism revealing the diversity of observed longitudinal patterns and allowing the tracking of each individual pattern, variable point and line widths reflecting weighted pattern frequencies, the rendering of simultaneous events, and different filter options for highlighting typical patterns. The proposed visual display has been developed for describing and exploring the order of event occurrences, but it can be equally applied to other types of longitudinal categorical data. Alongside the description of the principle of the plot, we demonstrate the scope of the plot with a real data set. A second application and R-code for the plot are available online as supplementary materials

Visualisation de séquences d'événements

Nous proposons une façon originale de représenter graphiquement des données longitudinales catégorielles. La visualisation proposée, inspirée des courbes de séries temporelles, se prête particulièrement bien à la description et à l'exploration de trajectoires individuelles décrites sous forme de séquences d'événements. Outre la description de la méthode de visualisation et des principes qui la président, l'article comprend des exemples d'application et une discussion des propriétés des graphiques produits. De plus, nous expliquons également quelques astuces de spécification permettant d'optimiser le rendu des données