Validation Of A Home-Based Tool For Preschool Children Fall Prevention: A Rasch Analysis,
Universitas Indonesia, Depok
Validation Of A Home-Based Tool For Preschool Children Fall Prevention: A Rasch Analysis, Devie Fitri Octaviani, Fatma Lestari, Indang Trihandini, Dadan Erwandi
Kesmas
Unintentional falls are a leading cause of injury among preschool children, primarily occurring in home environments, yet validated tools to assess household fall prevention capacity in low- and middle-income countries remain limited. This study aimed to develop and psychometrically validate the Home-Based Preschool Fall Prevention Instrument using the Rasch Measurement Model. A cross-sectional validation study was conducted in Depok City, Indonesia, involving 167 primary caregivers of preschool children enrolled in kindergartens selected through multistage cluster random sampling. The instrument was developed based on an etiological injury model, socio-ecological perspectives, and risk management principles, and comprised four main factors: child, home, …
On Simple Relations Between Difference-In-Differences And Negative Outcome Control Of Unobserved Confounding,
University of Washington
On Simple Relations Between Difference-In-Differences And Negative Outcome Control Of Unobserved Confounding, Tamar Sofer, David B. Richardson, Elena Colincino, Joel Schwartz, Eric J. Tchetgen Tchetgen
Harvard University Biostatistics Working Paper Series
No abstract provided.
Population Intervention Causal Effects Based On Stochastic Interventions,
Division of Biostatistics, School of Public Health, University of California, Berkeley
Population Intervention Causal Effects Based On Stochastic Interventions, Ivan Diaz Munoz, Mark J. Van Der Laan
U.C. Berkeley Division of Biostatistics Working Paper Series
Estimating the causal effect of an intervention on a population typically involves defining parameters in a nonparametric structural equation model (Pearl, 2000, NPSEM) in which the treatment or exposure is deter- ministically assigned in a static or dynamic way. We define a new causal parameter that takes into account the fact that intervention policies can result in stochastically assigned exposures. The statistical parameter that identifies the causal parameter of interest is established. Inverse probability of treatment weighting (IPTW), augmented IPTW (A-IPTW), and targeted maximum likelihood estimators (TMLE) are developed. A simulation study is performed to demonstrate the properties of these …
Linear Methods For Regression With Small Sample Sizes Relative To The Number Of Variables.,
University of Louisville
Linear Methods For Regression With Small Sample Sizes Relative To The Number Of Variables., Rajesh Sikder
Electronic Theses and Dissertations
In data sets where there are a small number of observations but a large number of variables observed for each observation, ordinary least squares estimation cannot be used for regression models. There are many alternative including stepwise regression, penalized methods such as ridge regression and the LASSO, and methods based on derived inputs such as principal components regression and partial least squares regression. In this thesis, these five methods are described. K-fold cross validation is also discussed as a way for determining regularization parameters for each method. The performance of these methods in estimation and prediction is also examined through …
Tmle: An R Package For Targeted Maximum Likelihood Estimation,
Harvard School of Public Health
Tmle: An R Package For Targeted Maximum Likelihood Estimation, Susan Gruber, Mark J. Van Der Laan
U.C. Berkeley Division of Biostatistics Working Paper Series
Targeted maximum likelihood estimation (TMLE) presents an approach for construction of an efficient double-robust semi-parametric substitution estimator of a target feature of the data generating distribution, such as a statistical association measure or a causal effect parameter. tmle is a recently developed R package that implements TMLE for estimation of the effect of a binary treatment at a single point in time on an outcome of interest, controlling for user supplied covariates: the additive treatment effect, the relative risk, the odds ratio. The package allows outcome data with missingness, and experimental units that contribute repeated records of the point-treatment data …
2d Quantitative Structure Activity Relationship Modeling Of Methylphenidate Analogues Using Algorithm And Partial Least Square Regression,
New Jersey Institute of Technology
2d Quantitative Structure Activity Relationship Modeling Of Methylphenidate Analogues Using Algorithm And Partial Least Square Regression, Noureen Wadhwaniya
Theses
Quantitative Structure-Activity Relationship (QSAR) analysis attempts to develop a predictive model of biological activity based on molecular descriptors. 2D QSAR uses descriptors, such as topological indices, that are independent of molecular conformation. A genetic algorithm - partial least squares (GA-PLS) approach was used to identify the molecular descriptors that correlate to the biological activity (binding affinity) of a set of 80 methylphenidate analogues and to construct a predictive model. The GA code was implemented using the fitness function (1-(n-1)(1-q2)/ (n - c)), where n is the number of compounds, c is the optimal number of components, and q …
Asma Pada Anak Indonesia: Penyebab Dan Pencetus,
Badan Penelitian dan Pengembangan Kesehatan Kementerian Kesehatan Republik Indonesia
Asma Pada Anak Indonesia: Penyebab Dan Pencetus, Ika Dharmayanti, Dwi Hapsari, Khadijah Azhar
Kesmas
Asma merupakan penyakit kronis yang dapat mengganggu kualitas hidup. Hingga saat ini, jumlah penderita asma semakin meningkat termasuk di Indonesia. Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor yang berhubungan dengan kejadian asma dan pencetus asma pada anak usia 6 - 14 tahun di Indonesia. Metode penelitian adalah desain potong lintang dengan menggunakan data Riset Kesehatan Dasar tahun 2013 di 33 provinsi di Indonesia. Variabel bebas adalah karakteristik responden, faktor lingkungan, dan perilaku merokok anak dan orangtua. Hasil analisis menunjukkan bahwa jenis kelamin laki-laki, kondisi sosial ekonomi rendah, riwayat asma pada orangtua, anak yang merokok atau pernah merokok, dan orangtua yang merokok …
Sensitivity Analysis For Causal Inference Under Unmeasured Confounding And Measurement Error Problems,
Division of Biostatistics, University of California, Berkeley
Sensitivity Analysis For Causal Inference Under Unmeasured Confounding And Measurement Error Problems, Iván Díaz, Mark J. Van Der Laan
U.C. Berkeley Division of Biostatistics Working Paper Series
In this paper we present a sensitivity analysis for drawing inferences about parameters that are not estimable from observed data without additional assumptions. We present the methodology using two different examples: a causal parameter that is not identifiable due to violations of the randomization assumption, and a parameter that is not estimable in the nonparametric model due to measurement error. Existing methods for tackling these problems assume a parametric model for the type of violation to the identifiability assumption, and require the development of new estimators and inference for every new model. The method we present can be used in …
Peran Kepemimpinan, Modal Sosial, Akses Informasi Serta Petugas Dan Fasilitator Kesehatan Dalam Pemberdayaan Masyarakat Bidang Kesehatan,
Universitas Sebelas Maret
Peran Kepemimpinan, Modal Sosial, Akses Informasi Serta Petugas Dan Fasilitator Kesehatan Dalam Pemberdayaan Masyarakat Bidang Kesehatan, Endang Sutisna Sulaeman, Bhisma Murti, Waryana Waryana
Kesmas
Faktor internal komunitas yang berperan dalam pemberdayaan masyarakat bidang kesehatan adalah kepemimpinan dan modal sosial, sedangkan faktor eksternal komunitas yang berperan adalah akses informasi kesehatan, petugas dan fasilitator kesehatan. Tujuan penelitian adalah mengetahui dan menganalisis peran kepemimpinan, modal sosial, akses informasi kesehatan, petugas, dan fasilitator kesehatan dalam pemberdayaan masyarakat bidang kesehatan. Desain penelitian adalah potong lintang dengan pendekatan penelitian kualitatif melalui metode studi kasus terpancang. Penelitian dilakukan selama tiga bulan di Kabupaten Tulungagung, Jawa Timur dengan mengambil dua desa, yaitu Desa Bulus di Kecamatan Bandung dan Desa Tanggul Kundung di Kecamatan Besuki tahun 2013. Hasil penelitian menunjukkan bahwa peran kepemimpinan …
The Undergraduate Student’S Guide To Geometric Morphometrics,
Pace University
The Undergraduate Student’S Guide To Geometric Morphometrics, Erika Crispo
Open Educational Resources
Embarking on a new research endeavor can be a daunting task. User guides, books, and published articles are written for an audience that already has some background experience in the field. Undergraduate students like you, who are at the very beginning of their research careers, often struggle to make sense of these documents. Furthermore, students like you often attempt to do so while balancing heavy course loads. Thus, I have written this document to help ease the burden so that you have more time to ponder the interesting scientific questions instead of digging through pages upon pages of documentation. I …
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