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Causal additive models with smooth backfitting / Morville, Asger B. (CC BY)

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Periodical

Title:
Berliner illustrierte Zeitung
Publication:
Berlin: Dt. Verl., 1891-1945 -
Digitization:
Berlin: Zentral- und Landesbibliothek Berlin, 2025
Dates of Publication:
1891, 1. Probenummer (14. December 1891) - 1891, 2. Probenummer (21. December 1891) ; 1.1892 - 29.1920,52; 34.1925,35-52; 44.1935,1-5u.9-10u.12-14u.18-22u.24u.28-52; 45.1936,1-41; 50.1941,1-25
Holdings:
1891, [Probenr.]; 1.1892 - 29.1920
Note:
Mehr nicht digitalisiert
Periodizität: wöchentl.
Weitere Digital. Ausg.: Fulda : Hochschul- und Landesbibl., 2010
-1936, Berlin, Ullstein
ZDB-ID:
2585264-4 ZDB
Keywords:
Berlin ; Zeitung ; Familienzeitschrift ; Zeitschrift ; Zeitung
Berlin:
B 1 Allgemeines: Zeitungen
DDC Group:
943 Geschichte Deutschlands
Collection:
Berlin Newspapers and Journals
Copyright:
Public Domain
Accessibility:
Free Access
Title:
Berliner illustrierte Zeitung
Publication:
Berlin: Dt. Verl., 1891-1945 -
Digitization:
Berlin: Zentral- und Landesbibliothek Berlin, 2025
Dates of Publication:
1891, 1. Probenummer (14. December 1891) - 1891, 2. Probenummer (21. December 1891) ; 1.1892 - 29.1920,52; 34.1925,35-52; 44.1935,1-5u.9-10u.12-14u.18-22u.24u.28-52; 45.1936,1-41; 50.1941,1-25
Holdings:
1891, [Probenr.]; 1.1892 - 29.1920
Note:
Mehr nicht digitalisiert
Periodizität: wöchentl.
Weitere Digital. Ausg.: Fulda : Hochschul- und Landesbibl., 2010
-1936, Berlin, Ullstein
ZDB-ID:
2585264-4 ZDB
Keywords:
Berlin ; Zeitung ; Familienzeitschrift ; Zeitschrift ; Zeitung
Berlin:
B 1 Allgemeines: Zeitungen
DDC Group:
943 Geschichte Deutschlands
Collection:
Berlin Newspapers and Journals
Copyright:
Public Domain
Accessibility:
Free Access

Volume

Publication:
1910
Language:
German
Digitization:
Berlin: Zentral- und Landesbibliothek Berlin, 2025
Note:
Die in der Digitalisierungsvorlage fehlenden Seiten wurden von einem Ersatzexemplar entnommen.
Berlin:
B 1 Allgemeines: Zeitungen
DDC Group:
943 Geschichte Deutschlands
URN:
urn:nbn:de:kobv:109-1-15512225
Location:
Zentral- und Landesbibliothek Berlin
Copyright:
Public Domain
Accessibility:
Free Access
Collection:
Berlin Newspapers and Journals
Publication:
1910
Language:
German
Digitization:
Berlin: Zentral- und Landesbibliothek Berlin, 2025
Note:
Die in der Digitalisierungsvorlage fehlenden Seiten wurden von einem Ersatzexemplar entnommen.
Berlin:
B 1 Allgemeines: Zeitungen
DDC Group:
943 Geschichte Deutschlands
URN:
urn:nbn:de:kobv:109-1-15512225
Location:
Zentral- und Landesbibliothek Berlin
Copyright:
Public Domain
Accessibility:
Free Access
Collection:
Berlin Newspapers and Journals

Issue

Title:
Nr. 15, 10. April 1910
Title:
Nr. 15, 10. April 1910

Contents

Table of contents

  • Journal of causal inference (Rights reserved)
  • Bridging binarization: causal inference with dichotomized continuous exposures / Lee, Kaitlyn (CC BY)
  • A diagnostic to find and help combat stochastic positivity issues – with a focus on continuous treatments / Ring, Katharina (CC BY)
  • Adaptive-TMLE for the average treatment effect based on randomized controlled trial augmented with real-world data / van der Laan, Mark (CC BY)
  • Semiparametric discovery and estimation of interaction in mixed exposures using stochastic interventions / McCoy, David B. (CC BY)
  • A causal framework for the self-controlled case series design / Etiévant, Lola (CC BY)
  • Assessing surrogate heterogeneity in real world data using meta-learners / Knowlton, Rebecca (CC BY)
  • Discovery of critical thresholds in mixed exposures and estimation of policy intervention effects / McCoy, David B. (CC BY)
  • Estimating average causal effects with incomplete exposure and confounders / Wen, Lan (CC BY)
  • Regression to the mean in regression discontinuity design: bias and sensitivity analysis / Karmakar, Bikram (CC BY)
  • Generalized coarsened confounding for causal effects: a large-sample framework / Ghosh, Debashis (CC BY)
  • Variable importance for causal forests: breaking down the heterogeneity of treatment effects / Bénard, Clément (CC BY)
  • Multivariate zero-inflated causal model for regional mobility restriction effects on consumer spending / Hong, Taekwon (CC BY)
  • Rate doubly robust estimation for weighted average treatment effects / Wang, Yiming (CC BY)
  • Adding covariates to bounds: what is the question? / Jonzon, Gustav (CC BY)
  • Orthogonal prediction of counterfactual outcomes / Vansteelandt, Stijn (CC BY)
  • Applying the Causal Roadmap to longitudinal national registry data in Denmark: A case study of second-line diabetes medication and dementia / Nance, Nerissa (CC BY)
  • Experiment-selector cross-validated targeted maximum likelihood estimator for hybrid RCT-external data studies / Dang, Lauren Eyler (CC BY)
  • Causal additive models with smooth backfitting / Morville, Asger B. (CC BY)
  • Spillover detection for donor selection in synthetic control models / O’Riordan, Michael (CC BY)
  • Role of placebo samples in observational studies / Ye, Ting (CC BY)
  • Mediated probabilities of causation / Rubinstein, Max (CC BY)
  • Bounds on the fixed effects estimand in the presence of heterogeneous assignment propensities / Humphreys, Macartan (CC BY)
  • Conservative inference for counterfactuals / Balakrishnan, Sivaraman (CC BY)
  • Decision making, symmetry and structure: Justifying causal interventions / Johnston, David O. (CC BY)
  • Recovery and inference of causal effects with sequential adjustment for confounding and attrition / de Aguas, Johan (CC BY)
  • Matching estimators of causal effects in clustered observational studies / Cui, Can (CC BY)
  • Beyond conditional averages: Estimating the individual causal effect distribution / Post, Richard A. J. (CC BY)
  • Treatment effect estimation with observational network data using machine learning / Emmenegger, Corinne (CC BY)
  • ˜Theœ necessity of construct and external validity for deductive causal inference / Esterling, Kevin M. (CC BY)
  • Optimal precision of coarse structural nested mean models to estimate the effect of initiating ART in early and acute HIV infection / Lok, Judith J. (CC BY)
  • Ancestor regression in structural vector autoregressive models / Schultheiss, Christoph (CC BY)
  • Causal structure learning in directed, possibly cyclic, graphical models / Semnani, Pardis (CC BY)
  • Targeted maximum likelihood based estimation for longitudinal mediation analysis / Wang, Zeyi (CC BY)
  • Single proxy synthetic control / Park, Chan (CC BY)
  • Targeting mediating mechanisms of social disparities with an interventional effects framework, applied to the gender pay gap in Western Germany / Didden, Christiane (CC BY)
  • Combining observational and experimental data for causal inference considering data privacy / Mann, Charlotte Z. (CC BY)
  • Valid causal inference with unobserved confounding in high-dimensional settings / Moosavi, Niloofar (CC BY)
  • Highly adaptive Lasso for estimation of heterogeneous treatment effects and treatment recommendation / Nizam, Sohail (CC BY)
  • A clarification on the links between potential outcomes and do-interventions / De Lara, Lucas (CC BY)
  • Minimax rates and adaptivity in combining experimental and observational data / Chen, Shuxiao (CC BY)
  • Energy balancing of covariate distributions / Huling, Jared D. (CC BY)
  • Prospective and retrospective causal inferences based on the potential outcome framework / Geng, Zhi (CC BY)
  • From urn models to box models: Making Neyman's (1923) insights accessible / Lin, Winston (CC BY)
  • Doubly weighted M-estimation for nonrandom assignment and missing outcomes / Negi, Akanksha (CC BY)
  • Design-based RCT estimators and central limit theorems for baseline subgroup and related analyses / Schochet, Peter Z. (CC BY)
  • Causal inference with textual data: A quasi-experimental design assessing the association between author metadata and acceptance among ICLR submissions from 2017 to 2022 / Chen, Chang (CC BY)
  • Interactive identification of individuals with positive treatment effect while controlling false discoveries / Duan, Boyan (CC BY)
  • Estimation of network treatment effects with non-ignorable missing confounders / Sun, Zhaohan (CC BY)
  • Neyman meets causal machine learning: Experimental evaluation of individualized treatment rules / Li, Michael Lingzhi (CC BY)
  • Bias formulas for violations of proximal identification assumptions in a linear structural equation model / Cobzaru, Raluca (CC BY)
  • ˜Theœ functional average treatment effect / Sparkes, Shane (CC BY)
  • Current philosophical perspectives on drug approval in the real world / Landes, Jürgen (CC BY)
  • An optimal transport approach to estimating causal effects via nonlinear difference-in-differences / Torous, William (CC BY)
  • Mediation analyses for the effect of antibodies in vaccination / Fay, Michael P. (CC BY)
  • An approach to nonparametric inference on the causal dose–response function / Hudson, Aaron (CC BY)
  • Foundations of causal discovery on groups of variables / Wahl, Jonas (CC BY)
  • Some theoretical foundations for the design and analysis of randomized experiments / Shi, Lei (CC BY)
  • A phenomenological account for causality in terms of elementary actions / Janzing, Dominik (CC BY)
  • Conditional generative adversarial networks for individualized causal mediation analysis / Huan, Cheng (CC BY)
  • Regression (s) discontinuity: Using bootstrap aggregation to yield estimates of RD treatment effects / Long, Mark C. (CC BY)
  • Direct, indirect, and interaction effects based on principal stratification with a binary mediator / Lee, Myoung-jae (CC BY)
  • Detecting treatment interference under K-nearest-neighbors interference / Alzubaidi, Samirah H. (CC BY)
  • Potential outcomes and decision-theoretic foundations for statistical causality: Response to Richardson and Robins / Dawid, Philip (CC BY)
  • Optimal allocation of sample size for randomization-based inference from 2 K factorial designs / Ravichandran, Arun (CC BY)
  • Improved sensitivity bounds for mediation under unmeasured mediator–outcome confounding / Sjölander, Arvid (CC BY)
  • Evaluating Boolean relationships in Configurational Comparative Methods / De Souter, Luna (CC BY)
  • Comparison of open-source software for producing directed acyclic graphs / Pitts, Amy J. (CC BY)
  • Sharp bounds for causal effects based on Ding and VanderWeele's sensitivity parameters / Sjölander, Arvid (CC BY)
  • Quantifying the quality of configurational causal models / Baumgartner, Michael (CC BY)
  • Double machine learning and design in batch adaptive experiments / Li, Harrison H. (CC BY)
  • Nonparametric estimation of conditional incremental effects / McClean, Alec (CC BY)

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