about
A guide to modern statistical analysis of immunological data.Risk factors and immunological pathways for asthma and other allergic diseases in children: background and methodology of a longitudinal study in a large urban center in Northeastern Brazil (Salvador-SCAALA study).Risk factors for asthma and allergy associated with urban migration: background and methodology of a cross-sectional study in Afro-Ecuadorian school children in Northeastern Ecuador (Esmeraldas-SCAALA Study).Feasibility and safety of autologous bone marrow mononuclear cell transplantation in patients with advanced chronic liver disease.Infusion of autologous bone marrow mononuclear cells through hepatic artery results in a short-term improvement of liver function in patients with chronic liver disease: a pilot randomized controlled study.Quantification of HDL proteins, cardiac events, and mortality in patients with type 2 diabetes on hemodialysis.Serum perfluorooctanoate (PFOA) and perfluorooctane sulfonate (PFOS) concentrations and liver function biomarkers in a population with elevated PFOA exposure.Applied immuno-epidemiological research: an approach for integrating existing knowledge into the statistical analysis of multiple immune markersEffect of city-wide sanitation programme on reduction in rate of childhood diarrhoea in northeast Brazil: assessment by two cohort studies.Within- and between-group regression for improving the robustness of causal claims in cross-sectional analysisSeventy-five genetic loci influencing the human red blood cellSpontaneous cytokine production in children according to biological characteristics and environmental exposures.Effect of HMG CoA reductase inhibitors on low-density lipoprotein cholesterol and C-reactive protein: systematic review and meta-analysis.Lipoprotein (a) and risk of cardiovascular disease--a systematic review and meta analysis of prospective studies.High intestinal cholesterol absorption is associated with cardiovascular disease and risk alleles in ABCG8 and ABO: evidence from the LURIC and YFS cohorts and from a meta-analysis.Impact of a city-wide sanitation intervention in a large urban centre on social, environmental and behavioural determinants of childhood diarrhoea: analysis of two cohort studies.Estimating the effect of recurrent infectious diseases on nutritional status: sampling frequency, sample-size, and bias.Causes of variation in BCG vaccine efficacy: examining evidence from the BCG REVAC cluster randomized trial to explore the masking and the blocking hypotheses.Early determinants of vagal activity at preschool age - With potential dependence on sex.Early infection with Trichuris trichiura and allergen skin test reactivity in later childhood.Estimating the longitudinal prevalence of diarrhea and other episodic diseases: continuous versus intermittent surveillance.Risk factors for childhood diarrhea incidence: dynamic analysis of a longitudinal study.Soluble Urokinase Plasminogen Activator Receptor and Outcomes in Patients with Diabetes on Hemodialysis.HDL Cholesterol Efflux Does Not Predict Cardiovascular Risk in Hemodialysis Patients.Prophylactic CMV therapy does not improve three-yr patient and graft survival compared to preemptive therapy.Human cytomegalovirus load in various body fluids of congenitally infected newborns.Association of MEP1A gene variants with insulin metabolism in central European women with polycystic ovary syndrome.Heart Failure with Preserved and Reduced Ejection Fraction in Hemodialysis Patients: Prevalence, Disease Prediction and Prognosis.Cost-Effectiveness And Budget Impact Analyses Of Risk Stratification Of Patients With Moderate Risk Of Cardiovascular Events Using Lp-Pla2 Testing.Stem cell apoptosis in HIV-1 alopecia.Neonatal BCG protection against tuberculosis lasts for 20 years in BrazilHomoarginine, kidney function and cardiovascular mortality riskReplyGreater fluid overload and lower interdialytic weight gain are independently associated with mortality in a large international hemodialysis populationImpact of bacterial probiotics on obesity, diabetes and non-alcoholic fatty liver disease related variables: a systematic review and meta-analysis of randomised controlled trialsScreening and diagnosis of congenital cytomegalovirus infection: a 5-y studyDetermination of cyclosporine A in whole blood: comparison of a chromatographic method with three different immunological methodsOrganizational justice, justice climate, and somatic complaints: A multilevel investigation
P50
Q30481249-B9423CCE-35B5-44FB-91C8-53D4DD87896AQ33247778-2A66CA63-0A13-41B0-B795-3EFC1004BDAFQ33257464-DC6BE075-13AC-4D5D-B051-03614F6A8462Q33279433-7220DACF-777F-47F6-90AF-039809033A10Q33490391-234ED388-CA86-495D-9778-E2E2A01476C9Q35051225-BD97E49E-C9BA-40A6-99E2-BA6CCF24003EQ35941855-E9A03C45-4CF0-4AF9-B168-9F45939298ACQ36024392-B73AAEAC-1420-4C5C-BC35-8100E07655ADQ36402473-8ABFE07B-FEFB-4418-83D3-2CD7162B0DA9Q36433117-DC5BDCF3-1F42-4AFC-AC9E-88A11243BDFFQ36758500-002A0B74-2C2C-4962-A731-59CAB149CDEBQ37201243-3B7A2AF7-3A2B-4E92-9969-FC6A31F5C9C2Q37282929-9EFD70FA-88CB-4CE6-AC21-A40F98F0AA09Q37866277-BDD8F613-9549-4628-AC22-9CCB3D542C7BQ38109387-9AB23902-6222-4B0F-9318-FE3F51EAB1D5Q38441319-F4D05304-89F8-4500-8F18-307E52DF882EQ38668925-96F289DC-0220-46DA-9B49-2871FFAAE12AQ38894430-6E182601-0CE1-4758-BD37-4875E2AA0F21Q39331583-58F69A05-D0E5-43B1-B7DB-236440E0A07CQ39404067-2242D174-6007-464C-825D-B9F32711DF1EQ39437450-51C2D570-B37E-4DCE-A234-4CA3372E8AE5Q39769849-C437BD81-7C41-42BF-B080-7FD02E28F97DQ40216229-6DDCDFC2-CEEF-4F5D-AFD7-25E93AA78C3EQ40587729-3F25C899-D628-4795-A4A4-F65E62939E22Q40956620-0854A4FE-0BB0-4884-B71A-E69E04B682DBQ44239707-AEB7589B-5B74-4B0D-AA3C-4F1FEDBD1945Q45939519-CD7EB95A-AB27-4B34-BF21-20DACD9373EBQ47397983-AFB2DE37-9097-4278-9C55-4904CD0D4333Q51775766-6293A03C-A172-4D7F-987E-338FC18E1303Q53595014-92358FDF-41C6-4679-868D-F37EE8E7B079Q56982815-2F809934-404C-4CBB-8B0F-18AEFB082893Q57315971-0D7D2A36-F2F0-4F9F-9549-FDC4AD7A5EB5Q57315977-4A072C15-673B-4839-B512-210F0BEA1BDAQ62618689-A03CD3C8-60CD-4F55-A64E-8217088F5A52Q64099563-D62CBF5B-CA81-4FDC-A95A-E621DFAB55B1Q73825318-912B19AD-5AFB-4563-9B9D-0FE7E995D175Q79754231-151EB89F-B9BB-415E-8E34-4617728737B2Q89215009-EDB2F81E-8134-4FB9-9764-F49880640BD0
P50
description
epidemiologist
@en
name
Bernd Genser
@ast
Bernd Genser
@en
Bernd Genser
@es
Bernd Genser
@nl
type
label
Bernd Genser
@ast
Bernd Genser
@en
Bernd Genser
@es
Bernd Genser
@nl
prefLabel
Bernd Genser
@ast
Bernd Genser
@en
Bernd Genser
@es
Bernd Genser
@nl
P108
P108
P21
P31
P4955
P496
0000-0001-5787-0902