| Year |
Citation |
Score |
| 2015 |
Raj DD, Moser J, van der Pol SM, van Os RP, Holtman IR, Brouwer N, Oeseburg H, Schaafsma W, Wesseling EM, den Dunnen W, Biber KP, de Vries HE, Eggen BJ, Boddeke HW. Enhanced microglial pro-inflammatory response to lipopolysaccharide correlates with brain infiltration and blood-brain barrier dysregulation in a mouse model of telomere shortening. Aging Cell. PMID 26238505 DOI: 10.1111/acel.12370 |
0.405 |
|
| 2015 |
Raj DDA, Moser J, van der Pol SMA, van Os RP, Holtman IR, Brouwer N, Oeseburg H, Schaafsma W, Wesseling EM, den Dunnen W, Biber KPH, de Vries HE, Eggen BJL, Boddeke HWGM. Enhanced microglial pro-inflammatory response to lipopolysaccharide correlates with brain infiltration and blood-brain barrier dysregulation in a mouse model of telomere shortening Aging Cell. DOI: 10.1111/acel.12370 |
0.394 |
|
| 2005 |
Albers CJ, Kooi BP, Schaafsma W. Trying to resolve the two-envelope problem Synthese. 145: 89-109. DOI: 10.1007/S11229-004-7665-5 |
0.302 |
|
| 2001 |
Albers CJ, Schaafsma W. How to assign probabilities if you must Statistica Neerlandica. 55: 346-357. DOI: 10.1111/1467-9574.00173 |
0.302 |
|
| 1981 |
Roos Gd, Schaafsma W. Is recreation affecting the number of birds' nests? A case study Statistica Neerlandica. 35: 69-90. DOI: 10.1111/J.1467-9574.1981.Tb00716.X |
0.327 |
|
| 1977 |
Schaafsma W, Vark GNv. Classification and discrimination problems with applications, part I Statistica Neerlandica. 31: 25-45. DOI: 10.1111/J.1467-9574.1979.Tb00666.X |
0.318 |
|
| 1971 |
Schaafsma W. The Neyman‐Pearson theory for testing statistical hypotheses Statistica Neerlandica. 25: 1-27. DOI: 10.1111/J.1467-9574.1971.Tb00130.X |
0.315 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 1985 |
Bron K, Kosse B, Poortema K, Schaafsma W, Voigt MJA, Werf SYVD. Some Methodological Aspects Of Estimating The First Few Moments Of The Distribution Of The Gamma Ray Multipli Statistica Neerlandica. 39: 261-277. DOI: 10.1111/J.1467-9574.1985.Tb01144.X |
0.299 |
|
| 1990 |
Schaafsma W, van der Meulen EA, Läuter J, Steerneman AGM, van Vark GN, Wilmink FW. Statistical aspects of Mahalanobis distance based methodology Human Evolution. 5: 483-491. DOI: 10.1007/Bf02435597 |
0.289 |
|
| 2003 |
Albers CJ, Schaafsma W. Estimating a density by adapting an initial guess Computational Statistics and Data Analysis. 42: 27-36. DOI: 10.1016/S0167-9473(02)00124-X |
0.288 |
|
| 2005 |
Albers CJ, De Roos GT, Schaafsma W. Estimating a frequency unseen: An application to ornithology Statistica Neerlandica. 59: 397-413. DOI: 10.1111/J.1467-9574.2005.00293.X |
0.273 |
|
| 1999 |
De Bruin R, Salomé D, Schaafsma W. A semi-bayesian method for nonparametric density estimation Computational Statistics and Data Analysis. 30: 19-30. DOI: 10.1016/S0167-9473(98)00089-9 |
0.265 |
|
| 1986 |
Beukhof JR, Kardaun O, Schaafsma W, Poortema K, Donker AJ, Hoedemaeker PJ, van der Hem GK. Toward individual prognosis of IgA nephropathy Kidney International. 29: 549-556. PMID 3702212 DOI: 10.1038/Ki.1986.33 |
0.256 |
|
| 1997 |
Thunnissen FBJM, Kroese AH, Ambergen AW, Peterse JL, Jansen JW, Laddé BE, Van Pel R, Tiebosch ATMG, Schaafsma W. Which cytological criteria are the most discriminative to distinguish carcinoma, lymphoma, and soft-tissue sarcoma? A probabilistic approach Diagnostic Cytopathology. 17: 333-338. PMID 9360045 DOI: 10.1002/(Sici)1097-0339(199711)17:5<333::Aid-Dc5>3.0.Co;2-B |
0.251 |
|
| 2008 |
Albers CJ, Schaafsma W. Goodness of fit testing using a specific density estimate Statistics & Decisions. 26: 3-23. DOI: 10.1524/Stnd.2008.0909 |
0.239 |
|
| 2001 |
De Bruin R, Schaafsma W, Steerneman AGM, Van Vark GN. Size and shape as linear combinations of untransformed measurements Communications in Statistics - Theory and Methods. 30: 1695-1714. DOI: 10.1081/Sta-100105693 |
0.237 |
|
| 2007 |
Kruijer W, Stein A, Schaafsma W, Heijting S. Analyzing spatial count data, with an application to weed counts Environmental and Ecological Statistics. 14: 399-410. DOI: 10.1007/S10651-007-0027-Y |
0.235 |
|
| 2016 |
Albers CJ, Kardaun OJWF, Schaafsma W. Assigning probabilities to hypotheses in the context of a binomial distribution Brazilian Journal of Probability and Statistics. 30: 127-144. DOI: 10.1214/14-Bjps264 |
0.228 |
|
| 1990 |
van Vark GN, Bilsborough A, Schaafsma W. Affinity, hominid evolution and Creationism. New computer methods weaken the Creationists' position Human Evolution. 5: 471-482. DOI: 10.1007/Bf02435596 |
0.228 |
|
| 1993 |
Steerneman AGM, van der Meulen EA, Schaafsma W, van Vark GN. Testing some hypotheses on Human Evolution and sexual dimorphism Human Evolution. 8: 25-31. DOI: 10.1007/Bf02435594 |
0.227 |
|
| 1992 |
Thunnissen FBJM, Diegenbach PC, Van Hattum AH, Tolboom J, Van Der Sluis DM, Schaafsma W, Houthoff HJ, Baak JPA. Further evaluation of quantitative nuclear image features for classification of lung carcinomas Pathology Research and Practice. 188: 531-535. PMID 1329052 DOI: 10.1016/S0344-0338(11)80050-6 |
0.224 |
|
| 2003 |
Kardaun OJWF, Salomé D, Schaafsma W, Steerneman AGM, Willems JC. Response by Groningen Statisticians International Statistical Review. 71: 314-318. DOI: 10.1111/J.1751-5823.2003.Tb00199.X |
0.209 |
|
| 1990 |
van Vark GN, Schaafsma W. Introduction. On the relationship between physical anthropology and multivariate analysis Human Evolution. 5: 405-407. DOI: 10.1007/Bf02435590 |
0.197 |
|
| 1985 |
Ambergen AW, Schaafsma W. Interval estimates for posterior probabilities in a multivariate normal classification model Journal of Multivariate Analysis. 16: 432-439. DOI: 10.1016/0047-259X(85)90029-6 |
0.178 |
|
| 2003 |
Kardaun OJWF, Salomé D, Schaafsma W, Steerneman AGM, Willems JC, Cox DR. Reflections on fourteen cryptic issues concerning the nature of statistical inference International Statistical Review. 71: 277-318. |
0.154 |
|
| 2017 |
Schaafsma W, Basterra LB, Jacobs S, Brouwer N, Meerlo P, Schaafsma A, Boddeke EWGM, Eggen BJL. Maternal inflammation induces immune activation of fetal microglia and leads to disrupted microglia immune responses, behavior, and learning performance in adulthood. Neurobiology of Disease. 106: 291-300. PMID 28751257 DOI: 10.1016/j.nbd.2017.07.017 |
0.148 |
|
| 2018 |
Yin Z, Raj DD, Schaafsma W, van der Heijden RA, Kooistra SM, Reijne AC, Zhang X, Moser J, Brouwer N, Heeringa P, Yi CX, van Dijk G, Laman JD, Boddeke EWGM, Eggen BJL. Low-Fat Diet With Caloric Restriction Reduces White Matter Microglia Activation During Aging. Frontiers in Molecular Neuroscience. 11: 65. PMID 29593493 DOI: 10.3389/fnmol.2018.00065 |
0.13 |
|
| 2015 |
Holtman IR, Raj DD, Miller JA, Schaafsma W, Yin Z, Brouwer N, Wes PD, Möller T, Orre M, Kamphuis W, Hol EM, Boddeke EW, Eggen BJ. Induction of a common microglia gene expression signature by aging and neurodegenerative conditions: a co-expression meta-analysis. Acta Neuropathologica Communications. 3: 31. PMID 26001565 DOI: 10.1186/S40478-015-0203-5 |
0.114 |
|
| 2014 |
Raj DD, Jaarsma D, Holtman IR, Olah M, Ferreira FM, Schaafsma W, Brouwer N, Meijer MM, de Waard MC, van der Pluijm I, Brandt R, Kreft KL, Laman JD, de Haan G, Biber KP, et al. Priming of microglia in a DNA-repair deficient model of accelerated aging. Neurobiology of Aging. 35: 2147-60. PMID 24799273 DOI: 10.1016/j.neurobiolaging.2014.03.025 |
0.113 |
|
| 2015 |
Schaafsma W, Zhang X, van Zomeren KC, Jacobs S, Georgieva PB, Wolf SA, Kettenmann H, Janova H, Saiepour N, Hanisch UK, Meerlo P, van den Elsen PJ, Brouwer N, Boddeke HW, Eggen BJ. Long-lasting pro-inflammatory suppression of microglia by LPS-preconditioning is mediated by RelB-dependent epigenetic silencing. Brain, Behavior, and Immunity. 48: 205-21. PMID 25843371 DOI: 10.1016/J.Bbi.2015.03.013 |
0.107 |
|
| 1993 |
van der Meulen EA, Schaafsma W. Assessing Weights of Evidence for Discussing Classical Statistical Hypotheses Statistics and Risk Modeling. 11: 201-220. DOI: 10.1524/strm.1993.11.3.201 |
0.103 |
|
| 1987 |
Gramsbergen A, Kok LP, Poortema K, Schaafsma W. Determining nucleolar multiplicity and cell number from sectional data Journal of Microscopy. 145: 69-87. PMID 3573035 |
0.092 |
|
| 1982 |
Schaafsma W. 40 Selecting variables in discriminant analysis for improving upon classical procedures Handbook of Statistics. 2: 857-881. DOI: 10.1016/S0169-7161(82)02043-4 |
0.089 |
|
| 1991 |
De Vries SO, Oosterhuis HJ, Tolboom J, Schaafsma W. [The effect of thymectomy in patients with myasthenia gravis without thymoma; a statistical analysis]. Nederlands Tijdschrift Voor Geneeskunde. 135: 2089-94. PMID 1944680 |
0.089 |
|
| 2017 |
Mattei D, Ivanov A, Ferrai C, Jordan P, Guneykaya D, Buonfiglioli A, Schaafsma W, Przanowski P, Deuther-Conrad W, Brust P, Hesse S, Patt M, Sabri O, Ross TL, Eggen BJL, et al. Maternal immune activation results in complex microglial transcriptome signature in the adult offspring that is reversed by minocycline treatment. Translational Psychiatry. 7: e1120. PMID 28485733 DOI: 10.1038/Tp.2017.80 |
0.088 |
|
| 1970 |
Schaafsma W. Most stringent and maximin tests as solutions of linear programming problems Zeitschrift FüR Wahrscheinlichkeitstheorie Und Verwandte Gebiete. 14: 290-307. DOI: 10.1007/BF00533667 |
0.082 |
|
| 1981 |
Schaafsma W, Steerneman T. Discriminant Analysis when the Number of Features Is Unbounded Ieee Transactions On Systems, Man and Cybernetics. 11: 144-151. DOI: 10.1109/TSMC.1981.4308639 |
0.074 |
|
| 2011 |
Czepiel M, Balasubramaniyan V, Schaafsma W, Stancic M, Mikkers H, Huisman C, Boddeke E, Copray S. Differentiation of induced pluripotent stem cells into functional oligodendrocytes Glia. 59: 882-892. PMID 21438010 DOI: 10.1002/glia.21159 |
0.058 |
|
| 2016 |
Mantione D, Del Agua I, Schaafsma W, Diez-Garcia J, Castro B, Sardon H, Mecerreyes D. Poly(3,4-ethylenedioxythiophene):GlycosAminoGlycan Aqueous Dispersions: Toward Electrically Conductive Bioactive Materials for Neural Interfaces. Macromolecular Bioscience. PMID 27168277 DOI: 10.1002/Mabi.201600059 |
0.055 |
|
| 1985 |
Gerver WJM, v.d. Laan CG, Drayer NM, Schaafsma W. Smoothing techniques for obtaining reference values for measurements of children International Journal of Bio-Medical Computing. 16: 29-34. PMID 3838535 DOI: 10.1016/0020-7101(85)90043-1 |
0.037 |
|
| 1989 |
Gerver WJM, Drayer NM, Schaafsma W. Reference values of anthropometric measurements in Dutch children. The Oosterwolde study Acta Paediatrica Scandinavica. 78: 307-313. PMID 2929355 |
0.029 |
|
| 1990 |
Gerver WJM, Drayer NM, Schaafsma W. The shape of a child: Is it normal or abnormal? Acta Paediatrica Scandinavica. 79: 861-862. PMID 2239286 |
0.029 |
|
| Hide low-probability matches. |