Hasil Pencarian  ::  Simpan CSV :: Kembali

"Analisis survival telah banyak digunakan dalam berbagai bidang, termasuk aktuaria. Analisis survival hendak diketahui distribusi dari waktu hingga terjadi suatu kejadian yang diamati. salah satu parameter yang dapat menjelaskan distribusidari waktu hingga terjadi kejadian tersebut ..."

"This greatly expanded third edition of Survival analysis : a self-learning text provides a highly readable description of state-of-the-art methods of analysis of survival/event-history data. The third edition continues to use the unique "lecture-book" format of the first two editions with one new chapter, additional sections and clarifications to several chapters, and a revised computer appendix. The Computer Appendix, with step-by-step instructions for using the computer packages STATA, SAS, and SPSS, is expanded this third edition to include the software package R."

"Model prediksi kesintasan kanker prostat metastasis tulang sudah pernah dilakukan sebelumnya. Namun, model prediksi kesintasan kanker prostat metastasis tulang pra-terapi belum pernah dialukan sebelumnya. Tujuan penelitian ini adalah untuk menganalisis faktor-faktor klinis yang mempengaruhi ketahanan hidup (survival) pada kanker prostat dengan metastasis tulang serta mengembangkan nomogram prognostik ketahanan hidup pada pasien dengan kondisi tersebut. Terdapat 392 subyek dengan kanker prostat dengan metastasis tulang yang mendapat terapi Androgen Deprivation Therapy (ADT) dalam penelitian ini. Parameter pra-perawatan dianalisis menggunakan model cox-proportional untuk mengidentifikasi prediktor ketahanan hidup secara keseluruhan. Kovariat yang menunjukkan nilai signifikansi secara statistik pada analisis multivariat akan dipakai untuk membentuk nomogram. Model prediktor linier digunakan untuk mengembangkan nomogram. Nilai median ketahanan hidup keseluruhan adalah 40,3 bulan (95% CI: 32.2 - 48.5). Analisis univariat menunjukkan bahwa T-stage, Gleason Score, nilai antigen spesifik prostat inisial, dan jumlah lesi metastasis merupakan faktor-faktor prognostik independen terhadap angka ketahanan hidup keseluruhan. Semua prediktor ini tetap menunjukkan hasil yang signifikan secara statistik sebagai faktor prognostik independen pada analisis model multivariat cox-regression. Nomogram yang terbentuk dari faktor-faktor prediktor tersebut menunjukkan diskriminasi yan baik dalam memprediksi ketahanan hidup dalam 5 tahun dengan area under the curve (AUC) sebesar 0.69. Kesepakatan yang diterima dari probabilitas yang diamati dan diprediksi telah dinilai dalam plot kalibrasi. Nilai median ketahanan hidup keseluruhan adalah 40,3 bulan. Prediksi nomogram ini dapat berguna sebagai alat untuk memprediksi angka ketahanan hidup keseluruhan pada sebelum terapi kanker prostat metastasis, secara spesifik pada populasi Indonesia. Penelitian lebih lanjut dibutuhkan untuk memberikan validasi eksternal untuk mendukung penggunaan nomogram ini.

---

A survival prognostic model of prostate cancer with bone metastasis had been done before. However, a prognostic model of pre-treatment prostate cancer with bone metastasis had not yet done. This study aims to analyze the clinical factors among bone-metastatic prostate cancer and their relationships with survival as well as to develop a prognostic nomogram for overall survival in patients with this condition. This study included 392 patients with bone metastatic prostate caner treated with androgen deprivation therapy. Pre-treatment parameters were analyzed using cox-proportional hazard model to identify the predictors of overall survival. Covariates, which showed statistical significance on multivariate analysis, were used to develop a nomogram. Linear predictor model was utilized to develop the nomogram. Median overall survival was 40.3 months (95% CI: 32.2 to 48.5). Univariate analysis showed that clinical T-stage, Gleason Score, initial prostate specific antigen value, and number of metastatic lesion were independent prognostic factors for OS. These predictors still remained significant as independent prognostic factors for overall survival following analysis using multivariate cox-regression model. The nomogram constructed from those prognostic factors showed good discriminaton for predicting the 5-year OS with an Area Under the Curve of 0.69. Acceptable agreement of the observed and predicted probabilites was observed in the calibration plot. The median overall survival of patient with bone metastatic prostate cancer was 40.3 months. The prediction nomogram might be a useful tool for predicting overall survival in pre-treatment bone metastatic prostate cancer, specifically among Indonesian patients. Further studies are needed to provide external validation to support the utilization of this nomogram."

"Salah satu cara meningkatkan kepercayaan nasabah yang juga merupakan salah satu keunggulan kompetitif bank adalah kualitas atau keandalan layanan Anjungan Tunai Mandiri (ATM) yang dimilikinya. ATM juga memegang peranan penting terhadap kinerja bank karena ATM memberikan pengaruh yang positif pada kinerja bank sehingga pemeliharaan ATM, menjadi penting bagi bank. Pemeliharaan yang proaktif pada ATM sebelum terjadi kerusakan, juga akan berdampak pada peningkatan kualitas layanannya. Oleh karena itu, penting bagi bank untuk dapat mengetahui estimasi kapan terjadi kerusakan pada ATM. Penelitian ini bertujuan untuk menganalisis waktu sampai terjadinya kerusakan (time-to-event) pada ATM dan karakteristik penentu yang dapat mempengaruhi keandalan ATM dengan menggunakan pendekatan analisis survival. Metode yang digunakan adalah Analisis Survival Non-parametric Model, Kaplan-Meier, dan Analisis Survival Semi-parametric Model, Cox Proportional Hazard (Cox PH) pada 11,043 data ATM tahun 2019-2023 dari salah satu bank terbesar di Indonesia. Hasil analisis Kaplan-Meier, menunjukkan bahwa tidak terdapat perbedaan yang signifikan pada kurva survival ATM antar kelompok pada lokasi, merek, dan pengelola, namun didapat perbedaan signifikan pada kurva survival ATM antar kelompok pada jenis dan durasi penyimpanan ATM. Dari analisis Cox PH, ditemukan bahwa faktor-faktor yang mempengaruhi dan signifikan adalah jenis, durasi penyimpanan mesin setelah dilakukan pembelian sebelum dilakukan aktivasi, merek, dan frekuensi transaksi ATM. Sedangkan frekuensi kegiatan Corrective maintenance (CM) berpengaruh namun tidak signifikan pada keandalan ATM. Analisis keandalan ATM ini dapat digunakan sebagai dasar pengambilan keputusan tentang karakteristik ATM yang akan digunakan, sehingga bank dapat meningkatkan kualitas layanan ATM dan mempertahankan keunggulan kompetitifnya.

---

One way to increase customer trust, which is also one of the bank's competitive advantages, is the quality of Automated Teller Machine (ATM) services. ATM also play an important role in bank’s performance because ATM have a positive impact on the bank’s performance, so that ATM maintenance is important for the bank. Proactive maintenance of the ATM before failure occurs will also have an impact on improving ATM service quality. Therefore, it is important for banks to be able to know the estimation of when failure occurs. This study aims to analyse the time-to-event of ATM and the determining characteristics that can affect ATM reliability using survival analysis approach. The methods used are Non-parametric Survival Analysis Model, Kaplan-Meier, and Semi-parametric Survival Analysis Model, Cox Proportional Hazard (Cox PH) on 11,043 ATM data in 2019-2023 at one of the largest banks in Indonesia.The results of the Kaplan-Meier analysis, there is no significant difference in ATM survival curve between groups on variable location, brand, and operation management, but has significant difference in ATM survival curve between groups on variable type and duration of ATM storage after purchase before activation. From Cox PH analysis, it was found that the influencing and significant factors are type, duration of machine storage after purchase before activation, brand, and frequency of ATM transactions. While the frequency of Corrective maintenance (CM) activities has an effect but not significant on ATM reliability. This ATM reliability analysis can be used as a basis for decisions about the characteristics of ATM that are implemented, so that banks can improve the quality of ATM services and maintain their competitive advantage."

"Mortalitas pasien pneumonia di rumah sakit meningkat pada saat pandemi COVID-19. Perlu diidentifikasi faktor-faktor risikonya dari determinan biologi, gaya hidup, lingkungan dan pelayanan kesehatan. Penelitian ini menggunakan disain campuran studi kuantitatif kohort retrospektif dan studi kualitatif sequential explanatory. Sampling studi kuantitatif diambil secara acak sederhana dari rekam medis Mei 2020-Desember 2021 di RS dr. Cipto Mangunkusumo, Jakarta. Studi kualitatif berupa wawancara mendalam bersama enam orang informan. Terdapat 1945 subjek pneumonia dengan insiden kematian 34,1%. Determinan yang berhubungan dengan peningkatan risiko kematian adalah pneumonia berat (HR 1,8;IK95% 1,38-2,43), skor CCI ≥2 (HR 1,5;IK95% 1,16-2,08). komplikasi ≥2 (HR 5,9; 95%IK 2,9-11,9), intubasi (HR 1,6;IK95% 1,27-2,05) dan lama tunggu di IGD ≥8 jam (HR1,4;IK95% 1,12-1,63), tren kematian rawat inap meningkat seiring dengan bertambahnya usia. Risiko kematian lebih rendah pada subjek dengan infeksi utama selain paru (HR 0,4;IK95% 0,35-0,51), subjek yang mendapat perawatan intensif (HR 0,3;IK95% 0,25-0,41), terapi antikoagulan (HR 0,3;IK95% 0,27-0,44) dan terapi steroid pada pneumonia non-COVID-19 kondisi berat (0,7;IK95% 0,5-0,9). Ketangguhan rumah sakit terjaga dengan adanya kebijakan zonasi, penerapan prinsip mitigasi risiko, dan modulasi layanan. Beban finansial berkurang melalui donasi atau hibah. Kerentanan rumah sakit antara lain kerapuhan infrastruktur, kecepatan kembali ke layanan reguler lebih lambat, rasa takut tenaga kesehatan, dan triase pra-rumah sakit belum berjalan.Determinan biologi, lingkungan dan pelayanan kesehatan berhubungan dengan sintas rawat inap pasien pneumonia pada masa pandemi COVID-19. Ketahanan rumah sakit perlu dinilai dengan melihat dampak pandemi terhadap kematian pneumonia COVID-19 maupun pneumonia non-COVID-19.

---

In-hospital mortality of pneumonia increased during the COVID-19 pandemic. It is necessary to identify risk factors from biological determinants, lifestyle, environment and health services. This research uses a mixed design of a retrospective cohort quantitative study and a sequential explanatory qualitative study. Quantitative subjects were selected using simple random sampling based on medical records May 2020-December 2021 at Dr. Cipto Mangunkusumo Hospital, Jakarta. In-depth interviews with six informants were performed. There were 1945 pneumonia subjects with a mortality incidence of 34,1%. Determinants associated with an increased mortality risk were severe pneumonia (HR 1,8; 95% CI 1,38-2,43), CCI score ≥2 (HR 1,5; 95% CI 1,16-2,08). complications ≥2 (HR 5,9; 95% CI 2,9-11,9), intubation (HR 1,6; 95% CI 1,27-2,05) and waiting time in the ER ≥8 hours (HR1,4 ;95% CI 1,12-1,63), the trend of inpatient mortality increases with increasing age. The risk of death was lower in subjects with primary infections other than lung (HR 0,4; 95% CI 0,35-0,51), subjects receiving intensive care (HR 0,3; 95% CI 0,25-0,41), anticoagulant therapy (HR 0,3; 95% CI 0,27-0,44) and steroid therapy in severe non-COVID-19 pneumonia (0,7; 95% CI 0,5-0,9). Hospital resilience is maintained by having zoning policies, implementing risk mitigation principles, and modulating services. Financial burden is reduced through donations or grants. Hospital vulnerabilities include infrastructure fragility, slower return to regular services, fear of health workers, and pre-hospital triage not yet in place. Biological, environmental and health service determinants are related to the survival rate of pneumonia patients during the COVID-19 pandemic. Hospital resilience needs to be assessed by looking at the impact of the pandemic on mortality from COVID-19 pneumonia and non-COVID-19 pneumonia."

"This handbook focuses on the analysis of lifetime data arising from the biological and medical sciences. It deals with semiparametric and nonparametric methods. For investigators new to this field, the book provides an overview of the topic along with examples of the methods discussed. It presents both classical methods and modern Bayesian approaches to the analysis of data"--"Preface This volume examines modern techniques and research problems in the analysis of life time data analysis. This area of statistics deals with time to event data which is complicated not only by the dynamic nature of events occurring in time but by censoring where some events are not observed directly but rather they are known to fall in some interval or range. Historically survival analysis is one of the oldest areas of statistics dating its origin to classic life table construction begun in the 1600's. Much of the early work in this area involved constructing better life tables and long tedious extensions of non-censored nonparametric estimators. Modern survival analysis began in the late 1980's with pioneering work by Odd Aalen on adapting classical Martingale theory to these more applied problems. Theory based on these counting process martingales made the development of techniques for censored and truncated data in most cases easier and opened the door to both Bayesian and classical statistics for a wide range of problems and applications. In this volume we present a series of papers which provide an introduction to the advances in survival analysis techniques in the past thirty years. These papers can serve four complimentary purposes. First, they provide an introduction to various areas in survival analysis for graduates students and other new researchers to this eld. Second, they provide a reference to more established investigators in this area of modern investigations into survival analysis. Third, with a bit of supplementation on counting process theory this volume is useful as a text for a second or advanced course in survival analysis. We have found that the instructor of such a course can pick and chose papers in areas he/​she deem most useful to the"